R-universe search: needs:s2

r-spatial

sf:Simple Features for R

Support for simple feature access, a standardized way to encode and analyze spatial vector data. Binds to 'GDAL' <doi:10.5281/zenodo.5884351> for reading and writing data, to 'GEOS' <doi:10.5281/zenodo.11396894> for geometrical operations, and to 'PROJ' <doi:10.5281/zenodo.5884394> for projection conversions and datum transformations. Uses by default the 's2' package for geometry operations on geodetic (long/lat degree) coordinates.

Maintained by Edzer Pebesma. Last updated 4 days ago.

gdal geos proj spatial cpp

1.4k stars 22.44 score 117k scripts 1.2k dependents

r-spatial

stars:Spatiotemporal Arrays, Raster and Vector Data Cubes

Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.

Maintained by Edzer Pebesma. Last updated 1 months ago.

raster satellite-images spatial

571 stars 18.27 score 7.2k scripts 137 dependents

rstudio

leaflet:Create Interactive Web Maps with the JavaScript 'Leaflet' Library

Create and customize interactive maps using the 'Leaflet' JavaScript library and the 'htmlwidgets' package. These maps can be used directly from the R console, from 'RStudio', in Shiny applications and R Markdown documents.

Maintained by Joe Cheng. Last updated 26 days ago.

gis leaflet-map spatial

821 stars 17.20 score 39k scripts 178 dependents

r-spatial

spdep:Spatial Dependence: Weighting Schemes, Statistics

A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>, 'saddlepoint' approximations ('Tiefelsdorf' 2002) <doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests for global and local 'Moran's I' ('Bivand et al.' 2009) <doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators of spatial heteroscedasticity ('Ord' and 'Getis') <doi:10.1007/s00168-011-0492-y>. The implementation of most of these measures is described in 'Bivand' and 'Wong' (2018) <doi:10.1007/s11749-018-0599-x>, with further extensions in 'Bivand' (2022) <doi:10.1111/gean.12319>. 'Lagrange' multiplier tests for spatial dependence in linear models are provided ('Anselin et al'. 1996) <doi:10.1016/0166-0462(95)02111-6>, as are 'Rao' score tests for hypothesised spatial 'Durbin' models based on linear models ('Koley' and 'Bera' 2023) <doi:10.1080/17421772.2023.2256810>. A local indicators for categorical data (LICD) implementation based on 'Carrer et al.' (2021) <doi:10.1016/j.jas.2020.105306> and 'Bivand et al.' (2017) <doi:10.1016/j.spasta.2017.03.003> was added in 1.3-7. From 'spdep' and 'spatialreg' versions >= 1.2-1, the model fitting functions previously present in this package are defunct in 'spdep' and may be found in 'spatialreg'.

Maintained by Roger Bivand. Last updated 1 months ago.

spatial-autocorrelation spatial-dependence spatial-weights

131 stars 16.59 score 6.0k scripts 106 dependents

r-tmap

tmap:Thematic Maps

Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.

Maintained by Martijn Tennekes. Last updated 1 days ago.

choropleth-maps maps spatial thematic-maps visualisation

879 stars 16.25 score 13k scripts 24 dependents

r-spatial

gstat:Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.

Maintained by Edzer Pebesma. Last updated 5 days ago.

openblas

197 stars 15.71 score 4.8k scripts 58 dependents

thomasp85

gganimate:A Grammar of Animated Graphics

The grammar of graphics as implemented in the 'ggplot2' package has been successful in providing a powerful API for creating static visualisation. In order to extend the API for animated graphics this package provides a completely new set of grammar, fully compatible with 'ggplot2' for specifying transitions and animations in a flexible and extensible way.

Maintained by Thomas Lin Pedersen. Last updated 5 days ago.

animation data-visualization ggplot-extension ggplot2 transition

2.0k stars 15.53 score 13k scripts 24 dependents

ropensci

rnaturalearth:World Map Data from Natural Earth

Facilitates mapping by making natural earth map data from <https://www.naturalearthdata.com/> more easily available to R users.

Maintained by Philippe Massicotte. Last updated 13 days ago.

peer-reviewed

234 stars 15.51 score 7.2k scripts 47 dependents

r-lidar

lidR:Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.

Maintained by Jean-Romain Roussel. Last updated 2 months ago.

als forestry las laz lidar point-cloud remote-sensing openblas cpp openmp

623 stars 14.47 score 844 scripts 8 dependents

r-spatial

mapview:Interactive Viewing of Spatial Data in R

Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images and bounding boxes.

Maintained by Tim Appelhans. Last updated 3 months ago.

gis leaflet maps spatial visualization web-mapping

526 stars 14.39 score 7.3k scripts 27 dependents

walkerke

tidycensus:Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames

An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.

Maintained by Kyle Walker. Last updated 2 months ago.

648 stars 14.02 score 7.5k scripts 10 dependents

r-spatial

rgee:R Bindings for Calling the 'Earth Engine' API

Earth Engine <https://earthengine.google.com/> client library for R. All of the 'Earth Engine' API classes, modules, and functions are made available. Additional functions implemented include importing (exporting) of Earth Engine spatial objects, extraction of time series, interactive map display, assets management interface, and metadata display. See <https://r-spatial.github.io/rgee/> for further details.

Maintained by Cesar Aybar. Last updated 3 days ago.

earth-engine earthengine google-earth-engine googleearthengine spatial-analysis spatial-data

717 stars 13.77 score 1.9k scripts 3 dependents

dieghernan

tidyterra:'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects

Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.

Maintained by Diego Hernangómez. Last updated 5 days ago.

terra ggplot-extension r-spatial rspatial

190 stars 13.59 score 1.9k scripts 25 dependents

r-spatial

spatialreg:Spatial Regression Analysis

A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) <doi:10.1111/gean.12008>, and model fitting methods by 'Bivand' and 'Piras' (2015) <doi:10.18637/jss.v063.i18>; both of these articles include extensive lists of references. A recent review is provided by 'Bivand', 'Millo' and 'Piras' (2021) <doi:10.3390/math9111276>. 'spatialreg' >= 1.1-* corresponded to 'spdep' >= 1.1-1, in which the model fitting functions were deprecated and passed through to 'spatialreg', but masked those in 'spatialreg'. From versions 1.2-*, the functions have been made defunct in 'spdep'. From version 1.3-6, add Anselin-Kelejian (1997) test to `stsls` for residual spatial autocorrelation <doi:10.1177/016001769702000109>.

Maintained by Roger Bivand. Last updated 9 days ago.

bayesian impacts maximum-likelihood spatial-dependence spatial-econometrics spatial-regression openblas

46 stars 12.97 score 916 scripts 24 dependents

r-spatial

lwgeom:Bindings to Selected 'liblwgeom' Functions for Simple Features

Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.

Maintained by Edzer Pebesma. Last updated 2 months ago.

proj geos cpp

61 stars 12.95 score 1.7k scripts 66 dependents

walkerke

tigris:Load Census TIGER/Line Shapefiles

Download TIGER/Line shapefiles from the United States Census Bureau (<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>) and load into R as 'sf' objects.

Maintained by Kyle Walker. Last updated 5 months ago.

331 stars 12.87 score 5.3k scripts 16 dependents

paleolimbot

ggspatial:Spatial Data Framework for ggplot2

Spatial data plus the power of the ggplot2 framework means easier mapping when input data are already in the form of spatial objects.

Maintained by Dewey Dunnington. Last updated 2 years ago.

379 stars 12.85 score 4.1k scripts 24 dependents

inlabru-org

inlabru:Bayesian Latent Gaussian Modelling using INLA and Extensions

Facilitates spatial and general latent Gaussian modeling using integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>). Additionally, extends the GAM-like model class to more general nonlinear predictor expressions, and implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. Model components are specified with general inputs and mapping methods to the latent variables, and the predictors are specified via general R expressions, with separate expressions for each observation likelihood model in multi-likelihood models. A prediction method based on fast Monte Carlo sampling allows posterior prediction of general expressions of the latent variables. Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019) <doi:10.1111/2041-210X.13168>.

Maintained by Finn Lindgren. Last updated 1 days ago.

96 stars 12.59 score 832 scripts 6 dependents

r-spatial

leafem:'leaflet' Extensions for 'mapview'

Provides extensions for packages 'leaflet' & 'mapdeck', many of which are used by package 'mapview'. Focus is on functionality readily available in Geographic Information Systems such as 'Quantum GIS'. Includes functions to display coordinates of mouse pointer position, query image values via mouse pointer and zoom-to-layer buttons. Additionally, provides a feature type agnostic function to add points, lines, polygons to a map.

Maintained by Tim Appelhans. Last updated 1 months ago.

108 stars 12.41 score 704 scripts 55 dependents

trevorld

ggpattern:'ggplot2' Pattern Geoms

Provides 'ggplot2' geoms filled with various patterns. Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern. Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances. Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.

Maintained by Trevor L. Davis. Last updated 2 months ago.

370 stars 12.36 score 1.7k scripts 3 dependents

ropensci

stplanr:Sustainable Transport Planning

Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. The package was originally developed to support the 'Propensity to Cycle Tool', a publicly available strategic cycle network planning tool (Lovelace et al. 2017) <doi:10.5198/jtlu.2016.862>, but has since been extended to support public transport routing and accessibility analysis (Moreno-Monroy et al. 2017) <doi:10.1016/j.jtrangeo.2017.08.012> and routing with locally hosted routing engines such as 'OSRM' (Lowans et al. 2023) <doi:10.1016/j.enconman.2023.117337>. The main functions are for creating and manipulating geographic "desire lines" from origin-destination (OD) data (building on the 'od' package); calculating routes on the transport network locally and via interfaces to routing services such as <https://cyclestreets.net/> (Desjardins et al. 2021) <doi:10.1007/s11116-021-10197-1>; and calculating route segment attributes such as bearing. The package implements the 'travel flow aggregration' method described in Morgan and Lovelace (2020) <doi:10.1177/2399808320942779> and the 'OD jittering' method described in Lovelace et al. (2022) <doi:10.32866/001c.33873>. Further information on the package's aim and scope can be found in the vignettes and in a paper in the R Journal (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053>, and in a paper outlining the landscape of open source software for geographic methods in transport planning (Lovelace, 2021) <doi:10.1007/s10109-020-00342-2>.

Maintained by Robin Lovelace. Last updated 7 months ago.

cycle cycling desire-lines origin-destination peer-reviewed pubic-transport route-network routes routing spatial transport transport-planning transportation walking

427 stars 12.31 score 684 scripts 3 dependents

eliocamp

metR:Tools for Easier Analysis of Meteorological Fields

Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.

Maintained by Elio Campitelli. Last updated 10 days ago.

atmospheric-science ggplot2 visualization

146 stars 12.30 score 1000 scripts 22 dependents

isciences

exactextractr:Fast Extraction from Raster Datasets using Polygons

Quickly and accurately summarizes raster values over polygonal areas ("zonal statistics").

Maintained by Daniel Baston. Last updated 8 months ago.

gis raster rcpp geos cpp

286 stars 12.13 score 1.4k scripts 14 dependents

hannameyer

CAST:'caret' Applications for Spatial-Temporal Models

Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; Linnenbrink et al. (2023) <doi:10.5194/egusphere-2023-1308>; Schumacher et al. (2024) <doi:10.5194/egusphere-2024-2730>. The package is described in detail in Meyer et al. (2024) <doi:10.48550/arXiv.2404.06978>.

Maintained by Hanna Meyer. Last updated 2 months ago.

autocorrelation caret feature-selection machine-learning overfitting predictive-modeling spatial spatio-temporal variable-selection

114 stars 11.85 score 298 scripts 1 dependents

prioritizr

prioritizr:Systematic Conservation Prioritization in R

Systematic conservation prioritization using mixed integer linear programming (MILP). It provides a flexible interface for building and solving conservation planning problems. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. By using exact algorithm solvers, solutions can be generated that are guaranteed to be optimal (or within a pre-specified optimality gap). Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. To solve large-scale or complex conservation planning problems, users should install the Gurobi optimization software (available from <https://www.gurobi.com/>) and the 'gurobi' R package (see Gurobi Installation Guide vignette for details). Users can also install the IBM CPLEX software (<https://www.ibm.com/products/ilog-cplex-optimization-studio/cplex-optimizer>) and the 'cplexAPI' R package (available at <https://github.com/cran/cplexAPI>). Additionally, the 'rcbc' R package (available at <https://github.com/dirkschumacher/rcbc>) can be used to generate solutions using the CBC optimization software (<https://github.com/coin-or/Cbc>). For further details, see Hanson et al. (2025) <doi:10.1111/cobi.14376>.

Maintained by Richard Schuster. Last updated 2 days ago.

biodiversity conservation conservation-planner optimization prioritization solver spatial cpp

124 stars 11.71 score 584 scripts 2 dependents

r-tmap

tmaptools:Thematic Map Tools

Set of tools for reading and processing spatial data. The aim is to supply the workflow to create thematic maps. This package also facilitates 'tmap', the package for visualizing thematic maps.

Maintained by Martijn Tennekes. Last updated 3 months ago.

42 stars 11.67 score 1.8k scripts 26 dependents

ateucher

rmapshaper:Client for 'mapshaper' for 'Geospatial' Operations

Edit and simplify 'geojson', 'Spatial', and 'sf' objects. This is wrapper around the 'mapshaper' 'JavaScript' library by Matthew Bloch <https://github.com/mbloch/mapshaper/> to perform topologically-aware polygon simplification, as well as other operations such as clipping, erasing, dissolving, and converting 'multi-part' to 'single-part' geometries.

Maintained by Andy Teucher. Last updated 9 months ago.

rlang

204 stars 11.64 score 2.1k scripts 18 dependents

pecanproject

PEcAn.data.atmosphere:PEcAn Functions Used for Managing Climate Driver Data

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The PECAn.data.atmosphere package converts climate driver data into a standard format for models integrated into PEcAn. As a standalone package, it provides an interface to access diverse climate data sets.

Maintained by David LeBauer. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants

216 stars 11.61 score 64 scripts 14 dependents

ggseg

ggseg:Plotting Tool for Brain Atlases

Contains 'ggplot2' geom for plotting brain atlases using simple features. The largest component of the package is the data for the two built-in atlases. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.

Maintained by Athanasia Mo Mowinckel. Last updated 2 years ago.

221 stars 11.57 score 590 scripts 14 dependents

doi-usgs

nhdplusTools:NHDPlus Tools

Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.

Maintained by David Blodgett. Last updated 1 months ago.

87 stars 11.38 score 348 scripts 5 dependents

riatelab

mapsf:Thematic Cartography

Create and integrate thematic maps in your workflow. This package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements that improve the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base' graphics.

Maintained by Timothée Giraud. Last updated 12 days ago.

cartography map spatial spatial-analysis

229 stars 11.32 score 414 scripts 12 dependents

inlabru-org

fmesher:Triangle Meshes and Related Geometry Tools

Generate planar and spherical triangle meshes, compute finite element calculations for 1- and 2-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.

Maintained by Finn Lindgren. Last updated 3 days ago.

cpp

16 stars 11.27 score 261 scripts 26 dependents

adeverse

adespatial:Multivariate Multiscale Spatial Analysis

Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.

Maintained by Aurélie Siberchicot. Last updated 10 days ago.

fortran openblas

36 stars 11.16 score 398 scripts 2 dependents

jamiemkass

ENMeval:Automated Tuning and Evaluations of Ecological Niche Models

Runs ecological niche models over all combinations of user-defined settings (i.e., tuning), performs cross validation to evaluate models, and returns data tables to aid in selection of optimal model settings that balance goodness-of-fit and model complexity. Also has functions to partition data spatially (or not) for cross validation, to plot multiple visualizations of results, to run null models to estimate significance and effect sizes of performance metrics, and to calculate range overlap between model predictions, among others. The package was originally built for Maxent models (Phillips et al. 2006, Phillips et al. 2017), but the current version allows possible extensions for any modeling algorithm. The extensive vignette, which guides users through most package functionality but unfortunately has a file size too big for CRAN, can be found here on the package's Github Pages website: <https://jamiemkass.github.io/ENMeval/articles/ENMeval-2.0-vignette.html>.

Maintained by Jamie M. Kass. Last updated 1 days ago.

49 stars 11.16 score 332 scripts 2 dependents

usepa

elevatr:Access Elevation Data from Various APIs

Several web services are available that provide access to elevation data. This package provides access to many of those services and returns elevation data either as an 'sf' simple features object from point elevation services or as a 'raster' object from raster elevation services. In future versions, 'elevatr' will drop support for 'raster' and will instead return 'terra' objects. Currently, the package supports access to the Amazon Web Services Terrain Tiles <https://registry.opendata.aws/terrain-tiles/>, the Open Topography Global Datasets API <https://opentopography.org/developers/>, and the USGS Elevation Point Query Service <https://apps.nationalmap.gov/epqs/>.

Maintained by Jeffrey Hollister. Last updated 7 months ago.

digital-elevation-model elevation-data elevatr epa mapzen-elevation-service r-language

206 stars 11.11 score 1.3k scripts 3 dependents

pbs-assess

sdmTMB:Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'

Implements spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effect Models) using 'TMB', 'fmesher', and the SPDE (Stochastic Partial Differential Equation) Gaussian Markov random field approximation to Gaussian random fields. One common application is for spatially explicit species distribution models (SDMs). See Anderson et al. (2024) <doi:10.1101/2022.03.24.485545>.

Maintained by Sean C. Anderson. Last updated 1 days ago.

ecology glmm spatial-analysis species-distribution-modelling tmb cpp

205 stars 11.04 score 848 scripts 1 dependents

ropensci

CoordinateCleaner:Automated Cleaning of Occurrence Records from Biological Collections

Automated flagging of common spatial and temporal errors in biological and paleontological collection data, for the use in conservation, ecology and paleontology. Includes automated tests to easily flag (and exclude) records assigned to country or province centroid, the open ocean, the headquarters of the Global Biodiversity Information Facility, urban areas or the location of biodiversity institutions (museums, zoos, botanical gardens, universities). Furthermore identifies per species outlier coordinates, zero coordinates, identical latitude/longitude and invalid coordinates. Also implements an algorithm to identify data sets with a significant proportion of rounded coordinates. Especially suited for large data sets. The reference for the methodology is: Zizka et al. (2019) <doi:10.1111/2041-210X.13152>.

Maintained by Alexander Zizka. Last updated 1 years ago.

82 stars 10.93 score 306 scripts 3 dependents

pdil

usmap:US Maps Including Alaska and Hawaii

Obtain United States map data frames of varying region types (e.g. county, state). The map data frames include Alaska and Hawaii conveniently placed to the bottom left, as they appear in most maps of the US. Convenience functions for plotting choropleths, visualizing spatial data, and working with FIPS codes are also provided.

Maintained by Paolo Di Lorenzo. Last updated 3 months ago.

counties data fips geodata mapping states usa

75 stars 10.89 score 1.7k scripts 2 dependents

ropensci

geojsonio:Convert Data from and to 'GeoJSON' or 'TopoJSON'

Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.

Maintained by Michael Mahoney. Last updated 1 years ago.

geojson topojson geospatial conversion data input-output io

151 stars 10.83 score 2.9k scripts 13 dependents

ropengov

giscoR:Download Map Data from GISCO API - Eurostat

Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.

Maintained by Diego Hernangómez. Last updated 4 days ago.

ropengov spatial api-wrapper eurostat gisco thematic-maps eurostat-data ggplot2 gis

75 stars 10.70 score 424 scripts 5 dependents

r-spatial

leafgl:High-Performance 'WebGl' Rendering for Package 'leaflet'

Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript library to render large data in the browser using 'WebGl'.

Maintained by Tim Appelhans. Last updated 5 months ago.

271 stars 10.63 score 157 scripts 27 dependents

jmsigner

amt:Animal Movement Tools

Manage and analyze animal movement data. The functionality of 'amt' includes methods to calculate home ranges, track statistics (e.g. step lengths, speed, or turning angles), prepare data for fitting habitat selection analyses, and simulation of space-use from fitted step-selection functions.

Maintained by Johannes Signer. Last updated 5 months ago.

41 stars 10.54 score 418 scripts

ctmm-initiative

ctmm:Continuous-Time Movement Modeling

Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic-process movement models to animal tracking data. The package is described in Calabrese et al (2016) <doi:10.1111/2041-210X.12559>, with models and methods based on those introduced and detailed in Fleming & Calabrese et al (2014) <doi:10.1086/675504>, Fleming et al (2014) <doi:10.1111/2041-210X.12176>, Fleming et al (2015) <doi:10.1103/PhysRevE.91.032107>, Fleming et al (2015) <doi:10.1890/14-2010.1>, Fleming et al (2016) <doi:10.1890/15-1607>, Péron & Fleming et al (2016) <doi:10.1186/s40462-016-0084-7>, Fleming & Calabrese (2017) <doi:10.1111/2041-210X.12673>, Péron et al (2017) <doi:10.1002/ecm.1260>, Fleming et al (2017) <doi:10.1016/j.ecoinf.2017.04.008>, Fleming et al (2018) <doi:10.1002/eap.1704>, Winner & Noonan et al (2018) <doi:10.1111/2041-210X.13027>, Fleming et al (2019) <doi:10.1111/2041-210X.13270>, Noonan & Fleming et al (2019) <doi:10.1186/s40462-019-0177-1>, Fleming et al (2020) <doi:10.1101/2020.06.12.130195>, Noonan et al (2021) <doi:10.1111/2041-210X.13597>, Fleming et al (2022) <doi:10.1111/2041-210X.13815>, Silva et al (2022) <doi:10.1111/2041-210X.13786>, Alston & Fleming et al (2023) <doi:10.1111/2041-210X.14025>.

Maintained by Christen H. Fleming. Last updated 9 days ago.

51 stars 10.54 score 534 scripts 4 dependents

rvalavi

blockCV:Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation

Creating spatially or environmentally separated folds for cross-validation to provide a robust error estimation in spatially structured environments; Investigating and visualising the effective range of spatial autocorrelation in continuous raster covariates and point samples to find an initial realistic distance band to separate training and testing datasets spatially described in Valavi, R. et al. (2019) <doi:10.1111/2041-210X.13107>.

Maintained by Roozbeh Valavi. Last updated 5 months ago.

cross-validation spatial spatial-cross-validation spatial-modelling species-distribution-modelling cpp

113 stars 10.49 score 302 scripts 3 dependents

riatelab

cartography:Thematic Cartography

Create and integrate maps in your R workflow. This package helps to design cartographic representations such as proportional symbols, choropleth, typology, flows or discontinuities maps. It also offers several features that improve the graphic presentation of maps, for instance, map palettes, layout elements (scale, north arrow, title...), labels or legends. See Giraud and Lambert (2017) <doi:10.1007/978-3-319-57336-6_13>.

Maintained by Timothée Giraud. Last updated 2 years ago.

cartography map thematic-maps cpp

399 stars 10.47 score 460 scripts 2 dependents

r-transit

tidytransit:Read, Validate, Analyze, and Map GTFS Feeds

Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <https://gtfs.org/>.

Maintained by Flavio Poletti. Last updated 2 months ago.

gtfs public public-transport tidyverse transit transit-data transport transportation

151 stars 10.47 score 272 scripts 1 dependents

bcgov

bcdata:Search and Retrieve Data from the BC Data Catalogue

Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.

Maintained by Andy Teucher. Last updated 4 days ago.

bcdc citz data-science env

83 stars 10.36 score 186 scripts 4 dependents

richardli

SUMMER:Small-Area-Estimation Unit/Area Models and Methods for Estimation in R

Provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>, Li et al. (2019) <doi:10.1371/journal.pone.0210645>, Wu et al. (DHS Spatial Analysis Reports No. 21, 2021), and Li et al. (2023) <doi:10.48550/arXiv.2007.05117>.

Maintained by Zehang R Li. Last updated 3 months ago.

bayesian-inference small-area-estimation space-time

23 stars 10.28 score 134 scripts 2 dependents

ropensci

rdhs:API Client and Dataset Management for the Demographic and Health Survey (DHS) Data

Provides a client for (1) querying the DHS API for survey indicators and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys and datasets for analysis, (3) downloading survey datasets from the DHS website, (4) loading datasets and associate metadata into R, and (5) extracting variables and combining datasets for pooled analysis.

Maintained by OJ Watson. Last updated 1 months ago.

dataset dhs dhs-api extract peer-reviewed survey-data

37 stars 10.16 score 286 scripts 4 dependents

bleutner

RStoolbox:Remote Sensing Data Analysis

Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.

Maintained by Konstantin Mueller. Last updated 2 months ago.

ggplot2 land-cover-mapping remote-sensing spectral-unmixing supervised-classification unsupervised-classification openblas cpp

275 stars 10.10 score 1.1k scripts

ropensci

spocc:Interface to Species Occurrence Data Sources

A programmatic interface to many species occurrence data sources, including Global Biodiversity Information Facility ('GBIF'), 'iNaturalist', 'eBird', Integrated Digitized 'Biocollections' ('iDigBio'), 'VertNet', Ocean 'Biogeographic' Information System ('OBIS'), and Atlas of Living Australia ('ALA'). Includes functionality for retrieving species occurrence data, and combining those data.

Maintained by Hannah Owens. Last updated 2 months ago.

specimens api web-services occurrences species taxonomy gbif inat vertnet ebird idigbio obis ala antweb bison data ecoengine inaturalist occurrence species-occurrence spocc

118 stars 10.09 score 552 scripts 5 dependents

murrayefford

secr:Spatially Explicit Capture-Recapture

Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.

Maintained by Murray Efford. Last updated 3 days ago.

cpp

3 stars 10.06 score 410 scripts 5 dependents

r-spatial

sftime:Classes and Methods for Simple Feature Objects that Have a Time Column

Classes and methods for spatial objects that have a registered time column, in particular for irregular spatiotemporal data. The time column can be of any type, but needs to be ordinal. Regularly laid out spatiotemporal data (vector or raster data cubes) are handled by package 'stars'.

Maintained by Henning Teickner. Last updated 1 months ago.

49 stars 9.99 score 27 scripts 60 dependents

ropensci

spatsoc:Group Animal Relocation Data by Spatial and Temporal Relationship

Detects spatial and temporal groups in GPS relocations (Robitaille et al. (2019) <doi:10.1111/2041-210X.13215>). It can be used to convert GPS relocations to gambit-of-the-group format to build proximity-based social networks In addition, the randomizations function provides data-stream randomization methods suitable for GPS data.

Maintained by Alec L. Robitaille. Last updated 2 months ago.

animal gps network social spatial

24 stars 9.97 score 145 scripts 3 dependents

pecanproject

PEcAn.assim.batch:PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by Istem Fer. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 9.96 score 20 scripts 2 dependents

umr-amap

BIOMASS:Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests

Contains functions for estimating above-ground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and correct taxonomy, (2) estimate wood density and its uncertainty, (3) build height-diameter models, (4) manage tree and plot coordinates, (5) estimate above-ground biomass/carbon at stand level with associated uncertainty. To cite ‘BIOMASS’, please use citation(‘BIOMASS’). For more information, see Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.

Maintained by Dominique Lamonica. Last updated 9 days ago.

27 stars 9.91 score 68 scripts 1 dependents

r-spatial

leafpop:Include Tables, Images and Graphs in Leaflet Pop-Ups

Creates 'HTML' strings to embed tables, images or graphs in pop-ups of interactive maps created with packages like 'leaflet' or 'mapview'. Handles local images located on the file system or via remote URL. Handles graphs created with 'lattice' or 'ggplot2' as well as interactive plots created with 'htmlwidgets'.

Maintained by Tim Appelhans. Last updated 6 months ago.

114 stars 9.87 score 458 scripts 27 dependents

thomasp85

transformr:Polygon and Path Transformations

In order to smoothly animate the transformation of polygons and paths, many aspects needs to be taken into account, such as differing number of control points, changing center of rotation, etc. The 'transformr' package provides an extensive framework for manipulating the shapes of polygons and paths and can be seen as the spatial brother to the 'tweenr' package.

Maintained by Thomas Lin Pedersen. Last updated 1 years ago.

animation data-visualization interpolation matching-shapes tweening cpp

116 stars 9.81 score 772 scripts 26 dependents

hafen

geofacet:'ggplot2' Faceting Utilities for Geographical Data

Provides geographical faceting functionality for 'ggplot2'. Geographical faceting arranges a sequence of plots of data for different geographical entities into a grid that preserves some of the geographical orientation.

Maintained by Ryan Hafen. Last updated 7 months ago.

geography ggplot2 visualization

339 stars 9.79 score 1.5k scripts 4 dependents

ropensci

osmextract:Download and Import Open Street Map Data Extracts

Match, download, convert and import Open Street Map data extracts obtained from several providers.

Maintained by Andrea Gilardi. Last updated 2 months ago.

geo geofabrik-zone open-data osm osm-pbf

173 stars 9.73 score 342 scripts

rmaia

pavo:Perceptual Analysis, Visualization and Organization of Spectral Colour Data

A cohesive framework for the spectral and spatial analysis of colour described in Maia, Eliason, Bitton, Doucet & Shawkey (2013) <doi:10.1111/2041-210X.12069> and Maia, Gruson, Endler & White (2019) <doi:10.1111/2041-210X.13174>.

Maintained by Thomas White. Last updated 2 months ago.

72 stars 9.72 score 151 scripts 1 dependents

pecanproject

PEcAnRTM:PEcAn Functions Used for Radiative Transfer Modeling

Functions for performing forward runs and inversions of radiative transfer models (RTMs). Inversions can be performed using maximum likelihood, or more complex hierarchical Bayesian methods. Underlying numerical analyses are optimized for speed using Fortran code.

Maintained by Alexey Shiklomanov. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants fortran jags cpp

216 stars 9.70 score 132 scripts

michaeldorman

nngeo:k-Nearest Neighbor Join for Spatial Data

K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor search uses (1) C code from 'GeographicLib' for lon-lat point layers, (2) function knn() from package 'nabor' for projected point layers, or (3) function st_distance() from package 'sf' for line or polygon layers. The package also includes several other utility functions for spatial analysis.

Maintained by Michael Dorman. Last updated 12 months ago.

81 stars 9.70 score 600 scripts 6 dependents

luukvdmeer

sfnetworks:Tidy Geospatial Networks

Provides a tidy approach to spatial network analysis, in the form of classes and functions that enable a seamless interaction between the network analysis package 'tidygraph' and the spatial analysis package 'sf'.

Maintained by Lucas van der Meer. Last updated 3 months ago.

geospatial-networks network-analysis rspatial simple-features spatial-analysis spatial-data-science spatial-networks tidygraph tidyverse

372 stars 9.63 score 332 scripts 6 dependents

jeffreyevans

spatialEco:Spatial Analysis and Modelling Utilities

Utilities to support spatial data manipulation, query, sampling and modelling in ecological applications. Functions include models for species population density, spatial smoothing, multivariate separability, point process model for creating pseudo- absences and sub-sampling, Quadrant-based sampling and analysis, auto-logistic modeling, sampling models, cluster optimization, statistical exploratory tools and raster-based metrics.

Maintained by Jeffrey S. Evans. Last updated 26 days ago.

biodiversity conservation ecology r-spatial raster spatial vector

110 stars 9.55 score 736 scripts 2 dependents

mstrimas

smoothr:Smooth and Tidy Spatial Features

Tools for smoothing and tidying spatial features (i.e. lines and polygons) to make them more aesthetically pleasing. Smooth curves, fill holes, and remove small fragments from lines and polygons.

Maintained by Matthew Strimas-Mackey. Last updated 2 years ago.

gis spatial

100 stars 9.53 score 440 scripts 9 dependents

e-sensing

sits:Satellite Image Time Series Analysis for Earth Observation Data Cubes

An end-to-end toolkit for land use and land cover classification using big Earth observation data, based on machine learning methods applied to satellite image data cubes, as described in Simoes et al (2021) <doi:10.3390/rs13132428>. Builds regular data cubes from collections in AWS, Microsoft Planetary Computer, Brazil Data Cube, Copernicus Data Space Environment (CDSE), Digital Earth Africa, Digital Earth Australia, NASA HLS using the Spatio-temporal Asset Catalog (STAC) protocol (<https://stacspec.org/>) and the 'gdalcubes' R package developed by Appel and Pebesma (2019) <doi:10.3390/data4030092>. Supports visualization methods for images and time series and smoothing filters for dealing with noisy time series. Includes functions for quality assessment of training samples using self-organized maps as presented by Santos et al (2021) <doi:10.1016/j.isprsjprs.2021.04.014>. Includes methods to reduce training samples imbalance proposed by Chawla et al (2002) <doi:10.1613/jair.953>. Provides machine learning methods including support vector machines, random forests, extreme gradient boosting, multi-layer perceptrons, temporal convolutional neural networks proposed by Pelletier et al (2019) <doi:10.3390/rs11050523>, and temporal attention encoders by Garnot and Landrieu (2020) <doi:10.48550/arXiv.2007.00586>. Supports GPU processing of deep learning models using torch <https://torch.mlverse.org/>. Performs efficient classification of big Earth observation data cubes and includes functions for post-classification smoothing based on Bayesian inference as described by Camara et al (2024) <doi:10.3390/rs16234572>, and methods for active learning and uncertainty assessment. Supports region-based time series analysis using package supercells <https://jakubnowosad.com/supercells/>. Enables best practices for estimating area and assessing accuracy of land change as recommended by Olofsson et al (2014) <doi:10.1016/j.rse.2014.02.015>. Minimum recommended requirements: 16 GB RAM and 4 CPU dual-core.

Maintained by Gilberto Camara. Last updated 2 months ago.

big-earth-data cbers earth-observation eo-datacubes geospatial image-time-series land-cover-classification landsat planetary-computer r-spatial remote-sensing rspatial satellite-image-time-series satellite-imagery sentinel-2 stac-api stac-catalog cpp

494 stars 9.50 score 384 scripts

riatelab

maptiles:Download and Display Map Tiles

To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stadia', 'Esri', 'CARTO', or 'Thunderforest').

Maintained by Timothée Giraud. Last updated 2 months ago.

map rspatial tiles

106 stars 9.43 score 199 scripts 15 dependents

bioc

SpatialFeatureExperiment:Integrating SpatialExperiment with Simple Features in sf

A new S4 class integrating Simple Features with the R package sf to bring geospatial data analysis methods based on vector data to spatial transcriptomics. Also implements management of spatial neighborhood graphs and geometric operations. This pakage builds upon SpatialExperiment and SingleCellExperiment, hence methods for these parent classes can still be used.

Maintained by Lambda Moses. Last updated 2 months ago.

datarepresentation transcriptomics spatial

49 stars 9.40 score 322 scripts 1 dependents

r-barnes

dggridR:Discrete Global Grids

Spatial analyses involving binning require that every bin have the same area, but this is impossible using a rectangular grid laid over the Earth or over any projection of the Earth. Discrete global grids use hexagons, triangles, and diamonds to overcome this issue, overlaying the Earth with equally-sized bins. This package provides utilities for working with discrete global grids, along with utilities to aid in plotting such data.

Maintained by Sebastian Krantz. Last updated 6 months ago.

discrete-global-grids geospatial spatial-analysis cpp

168 stars 9.37 score 388 scripts 1 dependents

lindbrook

cholera:Amend, Augment and Aid Analysis of John Snow's Cholera Map

Amends errors, augments data and aids analysis of John Snow's map of the 1854 London cholera outbreak.

Maintained by lindbrook. Last updated 3 days ago.

cholera data-visualization datasets epidemiology john-snow public-health triangulation-delaunay voronoi voronoi-polygons

134 stars 9.34 score 95 scripts

pecanproject

PEcAn.data.land:PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by Mike Dietze. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 9.33 score 19 scripts 10 dependents

ipeagit

gtfstools:General Transit Feed Specification (GTFS) Editing and Analysing Tools

Utility functions to read, manipulate, analyse and write transit feeds in the General Transit Feed Specification (GTFS) data format.

Maintained by Daniel Herszenhut. Last updated 2 months ago.

gtfs public-transport publictransport cpp

40 stars 9.31 score 126 scripts 3 dependents

mapme-initiative

mapme.biodiversity:Efficient Monitoring of Global Biodiversity Portfolios

Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.

Maintained by Darius A. Görgen. Last updated 2 days ago.

environment eo gis mapme spatial sustainability

35 stars 9.24 score 287 scripts

ropensci

stats19:Work with Open Road Traffic Casualty Data from Great Britain

Tools to help download, process and analyse the UK road collision data collected using the 'STATS19' form. The datasets are provided as 'CSV' files with detailed road safety information about the circumstances of car crashes and other incidents on the roads resulting in casualties in Great Britain from 1979 to present. Tables are available on 'colissions' with the circumstances (e.g. speed limit of road), information about 'vehicles' involved (e.g. type of vehicle), and 'casualties' (e.g. age). The statistics relate only to events on public roads that were reported to the police, and subsequently recorded, using the 'STATS19' collision reporting form. See the Department for Transport website <https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-accidents-safety-data> for more information on these datasets. The package is described in a paper in the Journal of Open Source Software (Lovelace et al. 2019) <doi:10.21105/joss.01181>. See Gilardi et al. (2022) <doi:10.1111/rssa.12823>, Vidal-Tortosa et al. (2021) <doi:10.1016/j.jth.2021.101291>, and Tait et al. (2023) <doi:10.1016/j.aap.2022.106895> for examples of how the data can be used for methodological and empirical road safety research.

Maintained by Robin Lovelace. Last updated 3 months ago.

stats19 road-safety transport car-crashes ropensci data

64 stars 9.20 score 193 scripts

alarm-redist

redist:Simulation Methods for Legislative Redistricting

Enables researchers to sample redistricting plans from a pre-specified target distribution using Sequential Monte Carlo and Markov Chain Monte Carlo algorithms. The package allows for the implementation of various constraints in the redistricting process such as geographic compactness and population parity requirements. Tools for analysis such as computation of various summary statistics and plotting functionality are also included. The package implements the SMC algorithm of McCartan and Imai (2023) <doi:10.1214/23-AOAS1763>, the enumeration algorithm of Fifield, Imai, Kawahara, and Kenny (2020) <doi:10.1080/2330443X.2020.1791773>, the Flip MCMC algorithm of Fifield, Higgins, Imai and Tarr (2020) <doi:10.1080/10618600.2020.1739532>, the Merge-split/Recombination algorithms of Carter et al. (2019) <arXiv:1911.01503> and DeFord et al. (2021) <doi:10.1162/99608f92.eb30390f>, and the Short-burst optimization algorithm of Cannon et al. (2020) <arXiv:2011.02288>.

Maintained by Christopher T. Kenny. Last updated 2 months ago.

geospatial gerrymandering redistricting sampling openblas cpp openmp

69 stars 9.18 score 259 scripts

atlasoflivingaustralia

galah:Biodiversity Data from the GBIF Node Network

The Global Biodiversity Information Facility ('GBIF', <https://www.gbif.org>) sources data from an international network of data providers, known as 'nodes'. Several of these nodes - the "living atlases" (<https://living-atlases.gbif.org>) - maintain their own web services using software originally developed by the Atlas of Living Australia ('ALA', <https://www.ala.org.au>). 'galah' enables the R community to directly access data and resources hosted by 'GBIF' and its partner nodes.

Maintained by Martin Westgate. Last updated 2 months ago.

43 stars 9.17 score 275 scripts 1 dependents

stscl

gdverse:Analysis of Spatial Stratified Heterogeneity

Detecting spatial associations based on the concept of spatial stratified heterogeneity while also considering spatial dependencies, spatial interpretability, complex spatial interactions, and robust spatial stratification. In addition, it supports the spatial stratified heterogeneity family described in Lv et al. (2025)<doi:10.1111/tgis.70032>.

Maintained by Wenbo Lv. Last updated 14 hours ago.

geographical-detector geoinformatics geospatial-analysis spatial-statistics spatial-stratified-heterogeneity cpp

33 stars 9.10 score 41 scripts 2 dependents

malaria-atlas-project

malariaAtlas:An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project'

A suite of tools to allow you to download all publicly available parasite rate survey points, mosquito occurrence points and raster surfaces from the 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as utility functions for plotting the downloaded data.

Maintained by Mauricio van den Berg. Last updated 8 months ago.

database malaria opendata raster

44 stars 9.10 score 118 scripts 3 dependents

huizezhang-sherry

cubble:A Vector Spatio-Temporal Data Structure for Data Analysis

A spatiotemperal data object in a relational data structure to separate the recording of time variant/ invariant variables. See the Journal of Statistical Software reference: <doi:10.18637/jss.v110.i07>.

Maintained by H. Sherry Zhang. Last updated 6 months ago.

57 stars 9.07 score 83 scripts

joelgombin

concaveman:A Very Fast 2D Concave Hull Algorithm

The concaveman function ports the 'concaveman' (<https://github.com/mapbox/concaveman>) library from 'mapbox'. It computes the concave polygon(s) for one or several set of points.

Maintained by Joël Gombin. Last updated 3 years ago.

concave-hull spatial

66 stars 9.06 score 492 scripts 22 dependents

eblondel

ows4R:Interface to OGC Web-Services (OWS)

Provides an Interface to Web-Services defined as standards by the Open Geospatial Consortium (OGC), including Web Feature Service (WFS) for vector data, Web Coverage Service (WCS), Catalogue Service (CSW) for ISO/OGC metadata, Web Processing Service (WPS) for data processes, and associated standards such as the common web-service specification (OWS) and OGC Filter Encoding. Partial support is provided for the Web Map Service (WMS). The purpose is to add support for additional OGC service standards such as Web Coverage Processing Service (WCPS), the Sensor Observation Service (SOS), or even new standard services emerging such OGC API or SensorThings.

Maintained by Emmanuel Blondel. Last updated 2 months ago.

catalogue-service csw dataaccess fes geospatial iso ogc ows sdi spatial spatial-data standard webfeatureservice wfs

38 stars 9.03 score 99 scripts 5 dependents

pecanproject

PEcAn.all:PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PEcAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by David LeBauer. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 9.00 score 266 scripts

r-spatial

link2GI:Linking Geographic Information Systems, Remote Sensing and Other Command Line Tools

Functions and tools for using open GIS and remote sensing command-line interfaces in a reproducible environment.

Maintained by Chris Reudenbach. Last updated 4 months ago.

26 stars 8.99 score 78 scripts 1 dependents

pecanproject

PEcAn.MAAT:PEcAn Package for Integration of the MAAT Model

This module provides functions to wrap the MAAT model into the PEcAn workflows.

Maintained by Shawn Serbin. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants

216 stars 8.96 score 12 scripts

bioc

schex:Hexbin plots for single cell omics data

Builds hexbin plots for variables and dimension reduction stored in single cell omics data such as SingleCellExperiment. The ideas used in this package are based on the excellent work of Dan Carr, Nicholas Lewin-Koh, Martin Maechler and Thomas Lumley.

Maintained by Saskia Freytag. Last updated 5 months ago.

software sequencing singlecell dimensionreduction visualization immunooncology dataimport

74 stars 8.96 score 102 scripts 2 dependents

ropensci

opentripplanner:Setup and connect to 'OpenTripPlanner'

Setup and connect to 'OpenTripPlanner' (OTP) <http://www.opentripplanner.org/>. OTP is an open source platform for multi-modal and multi-agency journey planning written in 'Java'. The package allows you to manage a local version or connect to remote OTP server to find walking, cycling, driving, or transit routes. This package has been peer-reviewed by rOpenSci (v. 0.2.0.0).

Maintained by Malcolm Morgan. Last updated 3 months ago.

data isochrones java opentripplanner otp public-transport routing transport transportation-planning

83 stars 8.94 score 147 scripts

pecanproject

PEcAn.BIOCRO:PEcAn Package for Integration of the BioCro Model

This module provides functions to link BioCro to PEcAn.

Maintained by David LeBauer. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 8.94 score 23 scripts

usepa

spsurvey:Spatial Sampling Design and Analysis

A design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that are not spatially balanced, select panel samples, measure the amount of spatial balance in a sample, adjust design weights, and more. For additional details, see Dumelle et al. (2023) <doi:10.18637/jss.v105.i03>.

Maintained by Michael Dumelle. Last updated 7 months ago.

ord

15 stars 8.94 score 241 scripts 1 dependents

ropenspain

mapSpain:Administrative Boundaries of Spain

Administrative Boundaries of Spain at several levels (Autonomous Communities, Provinces, Municipalities) based on the 'GISCO' 'Eurostat' database <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase SIANE' from 'Instituto Geografico Nacional' <https://www.ign.es/>. It also provides a 'leaflet' plugin and the ability of downloading and processing static tiles.

Maintained by Diego Hernangómez. Last updated 11 days ago.

ropenspain tiles maps spatial municipalities spain gisco provinces ign administrative-boundaries ccaa static-tiles ggplot2 gis

42 stars 8.88 score 244 scripts 2 dependents

chris-prener

areal:Areal Weighted Interpolation

A pipeable, transparent implementation of areal weighted interpolation with support for interpolating multiple variables in a single function call. These tools provide a full-featured workflow for validation and estimation that fits into both modern data management (e.g. tidyverse) and spatial data (e.g. sf) frameworks.

Maintained by Christopher Prener. Last updated 3 years ago.

93 stars 8.88 score 106 scripts 4 dependents

macroecology

letsR:Data Handling and Analysis in Macroecology

Handling, processing, and analyzing geographic data on species' distributions and environmental variables. Read Vilela & Villalobos (2015) <doi:10.1111/2041-210X.12401> for details.

Maintained by Bruno Vilela. Last updated 3 months ago.

29 stars 8.87 score 104 scripts

ropensci

nlrx:Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via 'XML'

Setup, run and analyze 'NetLogo' (<https://ccl.northwestern.edu/netlogo/>) model simulations in 'R'. 'nlrx' experiments use a similar structure as 'NetLogos' Behavior Space experiments. However, 'nlrx' offers more flexibility and additional tools for running and analyzing complex simulation designs and sensitivity analyses. The user defines all information that is needed in an intuitive framework, using class objects. Experiments are submitted from 'R' to 'NetLogo' via 'XML' files that are dynamically written, based on specifications defined by the user. By nesting model calls in future environments, large simulation design with many runs can be executed in parallel. This also enables simulating 'NetLogo' experiments on remote high performance computing machines. In order to use this package, 'Java' and 'NetLogo' (>= 5.3.1) need to be available on the executing system.

Maintained by Sebastian Hanss. Last updated 7 months ago.

agent-based-modeling individual-based-modelling netlogo peer-reviewed

78 stars 8.86 score 195 scripts

usdaforestservice

FIESTA:Forest Inventory Estimation and Analysis

A research estimation tool for analysts that work with sample-based inventory data from the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program.

Maintained by Grayson White. Last updated 3 days ago.

30 stars 8.84 score 62 scripts

pecanproject

PEcAn.workflow:PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PEcAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation. This package provides workhorse functions that can be used to run the major steps of a PEcAn analysis.

Maintained by David LeBauer. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 8.83 score 15 scripts 4 dependents

evolecolgroup

tidysdm:Species Distribution Models with Tidymodels

Fit species distribution models (SDMs) using the 'tidymodels' framework, which provides a standardised interface to define models and process their outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects, models and metrics specific to SDMs, as well as a number of specialised functions to process occurrences for contemporary and palaeo datasets. The full functionalities of the package are described in Leonardi et al. (2023) <doi:10.1101/2023.07.24.550358>.

Maintained by Andrea Manica. Last updated 23 days ago.

species-distribution-modelling tidymodels

31 stars 8.82 score 51 scripts

connordonegan

geostan:Bayesian Spatial Analysis

For spatial data analysis; provides exploratory spatial analysis tools, spatial regression, spatial econometric, and disease mapping models, model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health monitoring data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Donegan (2021) <doi:10.31219/osf.io/3ey65>; Donegan (2022) <doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020) <doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith (2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019) <doi:10.1016/j.sste.2019.100301>.

Maintained by Connor Donegan. Last updated 3 months ago.

bayesian bayesian-inference bayesian-statistics epidemiology modeling public-health rspatial spatial stan cpp

80 stars 8.80 score 46 scripts

ebird

ebirdst:Access and Analyze eBird Status and Trends Data Products

Tools for accessing and analyzing eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird distributions, abundances, and population trends at a high spatial and temporal resolution.

Maintained by Matthew Strimas-Mackey. Last updated 1 months ago.

26 stars 8.77 score 228 scripts

pecanproject

PEcAn.data.remote:PEcAn Functions Used for Extracting Remote Sensing Data

PEcAn module for processing remote data. Python module requirements: requests, json, re, ast, panads, sys. If any of these modules are missing, install using pip install <module name>.

Maintained by Bailey Morrison. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants

216 stars 8.75 score 6 scripts 5 dependents

pecanproject

PEcAn.ED2:PEcAn Package for Integration of ED2 Model

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation. This package provides functions to link the Ecosystem Demography Model, version 2, to PEcAn.

Maintained by Mike Dietze. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 8.74 score 145 scripts

atmoschem

vein:Vehicular Emissions Inventories

Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the project to download a template to create a structure of directories and scripts.

Maintained by Sergio Ibarra-Espinosa. Last updated 1 days ago.

atmoschem atmospheric-chemistry atmospheric-science atmospheric-sciences emissions emissions-model vehicular-emissions-inventories vein fortran openmp

46 stars 8.73 score 137 scripts

sjewo

cartogram:Create Cartograms with R

Construct continuous and non-contiguous area cartograms.

Maintained by Sebastian Jeworutzki. Last updated 3 months ago.

149 stars 8.72 score 732 scripts 3 dependents

r-spatial

RSAGA:SAGA Geoprocessing and Terrain Analysis

Provides access to geocomputing and terrain analysis functions of the geographical information system (GIS) 'SAGA' (System for Automated Geoscientific Analyses) from within R by running the command line version of SAGA. This package furthermore provides several R functions for handling ASCII grids, including a flexible framework for applying local functions (including predict methods of fitted models) and focal functions to multiple grids. SAGA GIS is available under GPL-2 / LGPL-2 licences from <https://sourceforge.net/projects/saga-gis/>.

Maintained by Alexander Brenning. Last updated 2 months ago.

23 stars 8.72 score 275 scripts

bioc

Voyager:From geospatial to spatial omics

SpatialFeatureExperiment (SFE) is a new S4 class for working with spatial single-cell genomics data. The voyager package implements basic exploratory spatial data analysis (ESDA) methods for SFE. Univariate methods include univariate global spatial ESDA methods such as Moran's I, permutation testing for Moran's I, and correlograms. Bivariate methods include Lee's L and cross variogram. Multivariate methods include MULTISPATI PCA and multivariate local Geary's C recently developed by Anselin. The Voyager package also implements plotting functions to plot SFE data and ESDA results.

Maintained by Lambda Moses. Last updated 3 months ago.

geneexpression spatial transcriptomics visualization bioconductor eda esda exploratory-data-analysis omics spatial-statistics spatial-transcriptomics

88 stars 8.71 score 173 scripts

adokter

bioRad:Biological Analysis and Visualization of Weather Radar Data

Extract, visualize and summarize aerial movements of birds and insects from weather radar data. See Dokter, A. M. et al. (2018) "bioRad: biological analysis and visualization of weather radar data" <doi:10.1111/ecog.04028> for a software paper describing package and methodologies.

Maintained by Adriaan M. Dokter. Last updated 4 days ago.

aeroecology enram eumetnet-opera lifewatch movement-ecology nexrad oscibio radar weather-radar wsr-88d

29 stars 8.70 score 56 scripts

munterfi

hereR:'sf'-Based Interface to the 'HERE' REST APIs

Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autosuggest addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing', 'Matrix Routing' and 'Isoline Routing' APIs; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) request intermodal routes using the 'Intermodal Routing' API; (6) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.

Maintained by Merlin Unterfinger. Last updated 1 months ago.

api geocoding gis here-technologies isoline routing rspatial traffic weather

91 stars 8.70 score 63 scripts

andrewzm

FRK:Fixed Rank Kriging

A tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach models the field, and hence the covariance function, using a set of basis functions. This fixed-rank basis-function representation facilitates the modelling of big data, and the method naturally allows for non-stationary, anisotropic covariance functions. Discretisation of the spatial domain into so-called basic areal units (BAUs) facilitates the use of observations with varying support (i.e., both point-referenced and areal supports, potentially simultaneously), and prediction over arbitrary user-specified regions. `FRK` also supports inference over various manifolds, including the 2D plane and 3D sphere, and it provides helper functions to model, fit, predict, and plot with relative ease. Version 2.0.0 and above also supports the modelling of non-Gaussian data (e.g., Poisson, binomial, negative-binomial, gamma, and inverse-Gaussian) by employing a generalised linear mixed model (GLMM) framework. Zammit-Mangion and Cressie <doi:10.18637/jss.v098.i04> describe `FRK` in a Gaussian setting, and detail its use of basis functions and BAUs, while Sainsbury-Dale, Zammit-Mangion, and Cressie <doi:10.18637/jss.v108.i10> describe `FRK` in a non-Gaussian setting; two vignettes are available that summarise these papers and provide additional examples.

Maintained by Andrew Zammit-Mangion. Last updated 6 months ago.

cpp

71 stars 8.70 score 188 scripts 1 dependents

open-eo

openeo:Client Interface for 'openEO' Servers

Access data and processing functionalities of 'openEO' compliant back-ends in R.

Maintained by Florian Lahn. Last updated 2 months ago.

openeo openeo-user

65 stars 8.65 score 128 scripts

mobiodiv

mobr:Measurement of Biodiversity

Functions for calculating metrics for the measurement biodiversity and its changes across scales, treatments, and gradients. The methods implemented in this package are described in: Chase, J.M., et al. (2018) <doi:10.1111/ele.13151>, McGlinn, D.J., et al. (2019) <doi:10.1111/2041-210X.13102>, McGlinn, D.J., et al. (2020) <doi:10.1101/851717>, and McGlinn, D.J., et al. (2023) <doi:10.1101/2023.09.19.558467>.

Maintained by Daniel McGlinn. Last updated 9 days ago.

biodiversity conservation ecology rarefaction species statistics

23 stars 8.65 score 93 scripts

jniedballa

camtrapR:Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses

Management of and data extraction from camera trap data in wildlife studies. The package provides a workflow for storing and sorting camera trap photos (and videos), tabulates records of species and individuals, and creates detection/non-detection matrices for occupancy and spatial capture-recapture analyses with great flexibility. In addition, it can visualise species activity data and provides simple mapping functions with GIS export.

Maintained by Juergen Niedballa. Last updated 4 months ago.

occupancy-modeling spatial-capture-recapture wildlife

35 stars 8.65 score 178 scripts

bcgov

bcmaps:Map Layers and Spatial Utilities for British Columbia

Various layers of B.C., including administrative boundaries, natural resource management boundaries, census boundaries etc. All layers are available in BC Albers (<https://spatialreference.org/ref/epsg/3005/>) equal-area projection, which is the B.C. government standard. The layers are sourced from the British Columbia and Canadian government under open licenses, including B.C. Data Catalogue (<https://data.gov.bc.ca>), the Government of Canada Open Data Portal (<https://open.canada.ca/en/using-open-data>), and Statistics Canada (<https://www.statcan.gc.ca/en/reference/licence>).

Maintained by Andy Teucher. Last updated 3 months ago.

data-science env

73 stars 8.65 score 254 scripts

projectmosaic

mosaicCalc:R-Language Based Calculus Operations for Teaching

Software to support the introductory *MOSAIC Calculus* textbook <https://www.mosaic-web.org/MOSAIC-Calculus/>), one of many data- and modeling-oriented educational resources developed by Project MOSAIC (<https://www.mosaic-web.org/>). Provides symbolic and numerical differentiation and integration, as well as support for applied linear algebra (for data science), and differential equations/dynamics. Includes grammar-of-graphics-based functions for drawing vector fields, trajectories, etc. The software is suitable for general use, but intended mainly for teaching calculus.

Maintained by Daniel Kaplan. Last updated 1 months ago.

13 stars 8.63 score 546 scripts

philipmostert

PointedSDMs:Fit Models Derived from Point Processes to Species Distributions using 'inlabru'

Integrated species distribution modeling is a rising field in quantitative ecology thanks to significant rises in the quantity of data available, increases in computational speed and the proven benefits of using such models. Despite this, the general software to help ecologists construct such models in an easy-to-use framework is lacking. We therefore introduce the R package 'PointedSDMs': which provides the tools to help ecologists set up integrated models and perform inference on them. There are also functions within the package to help run spatial cross-validation for model selection, as well as generic plotting and predicting functions. An introduction to these methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) <doi:10.1016/j.tree.2019.08.006>.

Maintained by Philip Mostert. Last updated 3 months ago.

25 stars 8.57 score 50 scripts 1 dependents

riatelab

osrm:Interface Between R and the OpenStreetMap-Based Routing Service OSRM

An interface between R and the 'OSRM' API. 'OSRM' is a routing service based on 'OpenStreetMap' data. See <http://project-osrm.org/> for more information. This package enables the computation of routes, trips, isochrones and travel distances matrices (travel time and kilometric distance).

Maintained by Timothée Giraud. Last updated 6 days ago.

openstreetmap osrm shortest-paths travel

240 stars 8.57 score 452 scripts

doi-usgs

hydroloom:Utilities to Weave Hydrologic Fabrics

A collection of utilities that support creation of network attributes for hydrologic networks. Methods and algorithms implemented are documented in Moore et al. (2019) <doi:10.3133/ofr20191096>), Cormen and Leiserson (2022) <ISBN:9780262046305> and Verdin and Verdin (1999) <doi:10.1016/S0022-1694(99)00011-6>.

Maintained by David Blodgett. Last updated 2 months ago.

28 stars 8.53 score 19 scripts 6 dependents

palaeoverse

palaeoverse:Prepare and Explore Data for Palaeobiological Analyses

Provides functionality to support data preparation and exploration for palaeobiological analyses, improving code reproducibility and accessibility. The wider aim of 'palaeoverse' is to bring the palaeobiological community together to establish agreed standards. The package currently includes functionality for data cleaning, binning (time and space), exploration, summarisation and visualisation. Reference datasets (i.e. Geological Time Scales <https://stratigraphy.org/chart>) and auxiliary functions are also provided. Details can be found in: Jones et al., (2023) <doi: 10.1111/2041-210X.14099>.

Maintained by Lewis A. Jones. Last updated 5 months ago.

biodiversity fossil palaeobiology paleobiology

21 stars 8.51 score 44 scripts 1 dependents

ropensci

weatherOz:An API Client for Australian Weather and Climate Data Resources

Provides automated downloading, parsing and formatting of weather data for Australia through API endpoints provided by the Department of Primary Industries and Regional Development ('DPIRD') of Western Australia and by the Science and Technology Division of the Queensland Government's Department of Environment and Science ('DES'). As well as the Bureau of Meteorology ('BOM') of the Australian government precis and coastal forecasts, and downloading and importing radar and satellite imagery files. 'DPIRD' weather data are accessed through public 'APIs' provided by 'DPIRD', <https://www.agric.wa.gov.au/weather-api-20>, providing access to weather station data from the 'DPIRD' weather station network. Australia-wide weather data are based on data from the Australian Bureau of Meteorology ('BOM') data and accessed through 'SILO' (Scientific Information for Land Owners) Jeffrey et al. (2001) <doi:10.1016/S1364-8152(01)00008-1>. 'DPIRD' data are made available under a Creative Commons Attribution 3.0 Licence (CC BY 3.0 AU) license <https://creativecommons.org/licenses/by/3.0/au/deed.en>. SILO data are released under a Creative Commons Attribution 4.0 International licence (CC BY 4.0) <https://creativecommons.org/licenses/by/4.0/>. 'BOM' data are (c) Australian Government Bureau of Meteorology and released under a Creative Commons (CC) Attribution 3.0 licence or Public Access Licence ('PAL') as appropriate, see <http://www.bom.gov.au/other/copyright.shtml> for further details.

Maintained by Rodrigo Pires. Last updated 1 months ago.

dpird bom meteorological-data weather-forecast australia weather weather-data meteorology western-australia australia-bureau-of-meteorology western-australia-agriculture australia-agriculture australia-climate australia-weather api-client climate data rainfall weather-api

31 stars 8.47 score 40 scripts

bmcclintock

momentuHMM:Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models

Extended tools for analyzing telemetry data using generalized hidden Markov models. Features of momentuHMM (pronounced ``momentum'') include data pre-processing and visualization, fitting HMMs to location and auxiliary biotelemetry or environmental data, biased and correlated random walk movement models, discrete- or continuous-time HMMs, continuous- or discrete-space movement models, approximate Langevin diffusion models, hierarchical HMMs, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, random effects, decoding of the state process, visualization of fitted models, model checking and selection, and simulation. See McClintock and Michelot (2018) <doi:10.1111/2041-210X.12995>.

Maintained by Brett McClintock. Last updated 1 months ago.

openblas cpp

43 stars 8.47 score 162 scripts

trevorld

gridpattern:'grid' Pattern Grobs

Provides 'grid' grobs that fill in a user-defined area with various patterns. Includes enhanced versions of the geometric and image-based patterns originally contained in the 'ggpattern' package as well as original 'pch', 'polygon_tiling', 'regular_polygon', 'rose', 'text', 'wave', and 'weave' patterns plus support for custom user-defined patterns.

Maintained by Trevor L. Davis. Last updated 2 months ago.

33 stars 8.42 score 4 scripts 4 dependents

obrl-soil

h3jsr:Access Uber's H3 Library

Provides access to Uber's H3 library for geospatial indexing via its JavaScript transpile 'h3-js' <https://github.com/uber/h3-js> and 'V8' <https://github.com/jeroen/v8>.

Maintained by Lauren OBrien. Last updated 1 years ago.

discrete-global-grids h3 spatial-indexing

67 stars 8.39 score 205 scripts 4 dependents

pecanproject

PEcAn.SIPNET:PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by Mike Dietze. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 8.36 score 61 scripts

wallaceecomod

wallace:A Modular Platform for Reproducible Modeling of Species Niches and Distributions

The 'shiny' application Wallace is a modular platform for reproducible modeling of species niches and distributions. Wallace guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface. An extensive vignette, which guides users through most package functionality can be found on the package's GitHub Pages website: <https://wallaceecomod.github.io/wallace/articles/tutorial-v2.html>.

Maintained by Mary E. Blair. Last updated 23 days ago.

openjdk

133 stars 8.36 score 96 scripts

pecanproject

PEcAn.LINKAGES:PEcAn Package for Integration of the LINKAGES Model

This module provides functions to link the (LINKAGES) to PEcAn.

Maintained by Ann Raiho. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 8.35 score 59 scripts

brazil-data-cube

rstac:Client Library for SpatioTemporal Asset Catalog

Provides functions to access, search and download spacetime earth observation data via SpatioTemporal Asset Catalog (STAC). This package supports the version 1.0.0 (and older) of the STAC specification (<https://github.com/radiantearth/stac-spec>). For further details see Simoes et al. (2021) <doi:10.1109/IGARSS47720.2021.9553518>.

Maintained by Felipe Carvalho. Last updated 10 months ago.

geospatial spatiotemporal-asset-catalog stac

72 stars 8.28 score 250 scripts 3 dependents

ipeagit

gtfs2gps:Converting Transport Data from GTFS Format to GPS-Like Records

Convert general transit feed specification (GTFS) data to global positioning system (GPS) records in 'data.table' format. It also has some functions to subset GTFS data in time and space and to convert both representations to simple feature format.

Maintained by Pedro R. Andrade. Last updated 2 months ago.

gps-format gtfs gtfs-format public-transport rspatial transport cpp

73 stars 8.22 score 101 scripts 1 dependents

ropensci

FedData:Download Geospatial Data Available from Several Federated Data Sources

Download geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from nine datasets: The National Elevation Dataset digital elevation models (<https://www.usgs.gov/3d-elevation-program> 1 and 1/3 arc-second; USGS); The National Hydrography Dataset (<https://www.usgs.gov/national-hydrography/national-hydrography-dataset>; USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (<https://websoilsurvey.sc.egov.usda.gov/>; NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>; GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 4, available from the Oak Ridge National Laboratory's Distributed Active Archive Center (<https://daymet.ornl.gov/>; DAAC); the International Tree Ring Data Bank; the National Land Cover Database (<https://www.mrlc.gov/>; NLCD); the Cropland Data Layer from the National Agricultural Statistics Service (<https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>; NASS); and the PAD-US dataset of protected area boundaries (<https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview>; USGS).

Maintained by R. Kyle Bocinsky. Last updated 4 months ago.

peer-reviewed

100 stars 8.20 score 364 scripts

r-spatial

mapedit:Interactive Editing of Spatial Data in R

Suite of interactive functions and helpers for selecting and editing geospatial data.

Maintained by Tim Appelhans. Last updated 3 years ago.

218 stars 8.20 score 410 scripts 1 dependents

tidymodels

spatialsample:Spatial Resampling Infrastructure

Functions and classes for spatial resampling to use with the 'rsample' package, such as spatial cross-validation (Brenning, 2012) <doi:10.1109/IGARSS.2012.6352393>. The scope of 'rsample' and 'spatialsample' is to provide the basic building blocks for creating and analyzing resamples of a spatial data set, but neither package includes functions for modeling or computing statistics. The resampled spatial data sets created by 'spatialsample' do not contain much overhead in memory.

Maintained by Michael Mahoney. Last updated 6 months ago.

cpp

73 stars 8.19 score 118 scripts 2 dependents

cran

epiR:Tools for the Analysis of Epidemiological Data

Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.

Maintained by Mark Stevenson. Last updated 2 months ago.

10 stars 8.18 score 10 dependents

ropengov

geofi:Access Finnish Geospatial Data

Designed to simplify geospatial data access from the Statistics Finland Web Feature Service API <https://geo.stat.fi/geoserver/index.html>, the geofi package offers researchers and analysts a set of tools to obtain and harmonize administrative spatial data for a wide range of applications, from urban planning to environmental research. The package contains annually updated time series of municipality key datasets that can be used for data aggregation and language translations.

Maintained by Markus Kainu. Last updated 2 months ago.

ropengov ggplot2

20 stars 8.17 score 61 scripts

bluegreen-labs

daymetr:Interface to the 'Daymet' Web Services

Programmatic interface to the 'Daymet' web services (<http://daymet.ornl.gov>). Allows for easy downloads of 'Daymet' climate data directly to your R workspace or your computer. Routines for both single pixel data downloads and gridded (netCDF) data are provided.

Maintained by Koen Hufkens. Last updated 12 hours ago.

climate-data data-science daymet gridded-data netcdf ornl-daac

32 stars 8.14 score 242 scripts 2 dependents

ahb108

rcarbon:Calibration and Analysis of Radiocarbon Dates

Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).

Maintained by Enrico Crema. Last updated 7 months ago.

34 stars 8.14 score 274 scripts 2 dependents

pecanproject

PEcAnAssimSequential:PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by Mike Dietze. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 8.12 score 35 scripts

evolecolgroup

pastclim:Manipulate Time Series of Climate Reconstructions

Methods to easily extract and manipulate climate reconstructions for ecological and anthropological analyses, as described in Leonardi et al. (2023) <doi:10.1111/ecog.06481>. The package includes datasets of palaeoclimate reconstructions, present observations, and future projections from multiple climate models.

Maintained by Andrea Manica. Last updated 17 days ago.

climate-data paleoclimate species-distribution-modelling

38 stars 8.12 score 49 scripts

mazamascience

MazamaSpatialUtils:Spatial Data Download and Utility Functions

A suite of conversion functions to create internally standardized spatial polygons data frames. Utility functions use these data sets to return values such as country, state, time zone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)

Maintained by Jonathan Callahan. Last updated 5 months ago.

5 stars 8.09 score 282 scripts 2 dependents

walkerke

mapgl:Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS'

Provides an interface to the 'Mapbox GL JS' (<https://docs.mapbox.com/mapbox-gl-js/guides>) and the 'MapLibre GL JS' (<https://maplibre.org/maplibre-gl-js/docs/>) interactive mapping libraries to help users create custom interactive maps in R. Users can create interactive globe visualizations; layer 'sf' objects to create filled maps, circle maps, 'heatmaps', and three-dimensional graphics; and customize map styles and views. The package also includes utilities to use 'Mapbox' and 'MapLibre' maps in 'Shiny' web applications.

Maintained by Kyle Walker. Last updated 12 days ago.

116 stars 8.08 score 138 scripts

r-arcgis

arcgislayers:An Interface to ArcGIS Data Services

Enables users of 'ArcGIS Enterprise', 'ArcGIS Online', or 'ArcGIS Platform' to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.

Maintained by Josiah Parry. Last updated 11 days ago.

arcgis esri gis r-spatial

50 stars 8.07 score 38 scripts 4 dependents

ropensci

MODIStsp:Find, Download and Process MODIS Land Products Data

Allows automating the creation of time series of rasters derived from MODIS satellite land products data. It performs several typical preprocessing steps such as download, mosaicking, reprojecting and resizing data acquired on a specified time period. All processing parameters can be set using a user-friendly GUI. Users can select which layers of the original MODIS HDF files they want to process, which additional quality indicators should be extracted from aggregated MODIS quality assurance layers and, in the case of surface reflectance products, which spectral indexes should be computed from the original reflectance bands. For each output layer, outputs are saved as single-band raster files corresponding to each available acquisition date. Virtual files allowing access to the entire time series as a single file are also created. Command-line execution exploiting a previously saved processing options file is also possible, allowing users to automatically update time series related to a MODIS product whenever a new image is available. For additional documentation refer to the following article: Busetto and Ranghetti (2016) <doi:10.1016/j.cageo.2016.08.020>.

Maintained by Luigi Ranghetti. Last updated 9 months ago.

gdal modis modis-data modis-land-products peer-reviewed preprocessing remote-sensing satellite-imagery time-series

156 stars 8.04 score 86 scripts 1 dependents

bioc

spicyR:Spatial analysis of in situ cytometry data

The spicyR package provides a framework for performing inference on changes in spatial relationships between pairs of cell types for cell-resolution spatial omics technologies. spicyR consists of three primary steps: (i) summarizing the degree of spatial localization between pairs of cell types for each image; (ii) modelling the variability in localization summary statistics as a function of cell counts and (iii) testing for changes in spatial localizations associated with a response variable.

Maintained by Ellis Patrick. Last updated 25 days ago.

singlecell cellbasedassays spatial

9 stars 8.02 score 57 scripts 1 dependents

dieghernan

nominatimlite:Interface with 'Nominatim' API Service

Lite interface for getting data from 'OSM' service 'Nominatim' <https://nominatim.org/release-docs/latest/>. Extract coordinates from addresses, find places near a set of coordinates and return spatial objects on 'sf' format.

Maintained by Diego Hernangómez. Last updated 11 days ago.

geocoding openstreetmap address nominatim reverse-geocoding shapefile spatial api-wrapper api gis

20 stars 8.01 score 41 scripts 1 dependents

epiverse-trace

sivirep:Data Wrangling and Automated Reports from 'SIVIGILA' Source

Data wrangling, pre-processing, and generating automated reports from Colombia's epidemiological surveillance system, 'SIVIGILA' <https://portalsivigila.ins.gov.co/>. It provides a customizable R Markdown template for analysis and automatic generation of epidemiological reports that can be adapted to local, regional, and national contexts. This tool offers a standardized and reproducible workflow that helps to reduce manual labor and potential errors in report generation, improving their efficiency and consistency.

Maintained by Geraldine Gómez-Millán. Last updated 1 months ago.

colombia epidemiological-surveillance epiverse public-health

42 stars 8.00 score 21 scripts

ropensci

osmplotr:Bespoke Images of 'OpenStreetMap' Data

Bespoke images of 'OpenStreetMap' ('OSM') data and data visualisation using 'OSM' objects.

Maintained by Mark Padgham. Last updated 1 months ago.

data-visualisation highlighting-clusters openstreetmap osm overpass overpass-api peer-reviewed

139 stars 7.97 score 80 scripts

ropenspain

spanishoddata:Get Spanish Origin-Destination Data

Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.

Maintained by Egor Kotov. Last updated 9 days ago.

cdr data data-package mobile-telephone-data mobility origin-destination

35 stars 7.92 score 14 scripts

emf-creaf

meteoland:Landscape Meteorology Tools

Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].

Maintained by Miquel De Cáceres. Last updated 2 months ago.

cpp

9 stars 7.90 score 92 scripts 2 dependents

tbep-tech

tbeptools:Data and Indicators for the Tampa Bay Estuary Program

Several functions are provided for working with Tampa Bay Estuary Program data and indicators, including the water quality report card, tidal creek assessments, Tampa Bay Nekton Index, Tampa Bay Benthic Index, seagrass transect data, habitat report card, and fecal indicator bacteria. Additional functions are provided for miscellaneous tasks, such as reference library curation.

Maintained by Marcus Beck. Last updated 2 days ago.

data-analysis tampa-bay tbep water-quality

10 stars 7.86 score 133 scripts

geodacenter

rgeoda:R Library for Spatial Data Analysis

Provides spatial data analysis functionalities including Exploratory Spatial Data Analysis, Spatial Cluster Detection and Clustering Analysis, Regionalization, etc. based on the C++ source code of 'GeoDa', which is an open-source software tool that serves as an introduction to spatial data analysis. The 'GeoDa' software and its documentation are available at <https://geodacenter.github.io>.

Maintained by Xun Li. Last updated 22 days ago.

dataanalysis geoda geospatial cpp

73 stars 7.85 score 179 scripts 1 dependents

christopherkenny

geomander:Geographic Tools for Studying Gerrymandering

A compilation of tools to complete common tasks for studying gerrymandering. This focuses on the geographic tool side of common problems, such as linking different levels of spatial units or estimating how to break up units. Functions exist for creating redistricting-focused data for the US.

Maintained by Christopher T. Kenny. Last updated 1 months ago.

cpp

14 stars 7.81 score 191 scripts 1 dependents

mrc-ide

naomi:Naomi Model for Subnational HIV Estimates

This package implements the Naomi model for subnational HIV estimates.

Maintained by Jeff Eaton. Last updated 20 days ago.

cpp

9 stars 7.74 score 54 scripts 2 dependents

ropensci

NLMR:Simulating Neutral Landscape Models

Provides neutral landscape models (<doi:10.1007/BF02275262>, <http://sci-hub.tw/10.1007/bf02275262>). Neutral landscape models range from "hard" neutral models (completely random distributed), to "soft" neutral models (definable spatial characteristics) and generate landscape patterns that are independent of ecological processes. Thus, these patterns can be used as null models in landscape ecology. 'NLMR' combines a large number of algorithms from other published software for simulating neutral landscapes. The simulation results are obtained in a spatial data format (raster* objects from the 'raster' package) and can, therefore, be used in any sort of raster data operation that is performed with standard observation data.

Maintained by Marco Sciaini. Last updated 7 months ago.

landscape-ecology neutral-landscape-model peer-reviewed spatial cpp

65 stars 7.74 score 193 scripts

jeremygelb

spNetwork:Spatial Analysis on Network

Perform spatial analysis on network. Implement several methods for spatial analysis on network: Network Kernel Density estimation, building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation References: Okabe et al (2019) <doi:10.1080/13658810802475491>; Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).

Maintained by Jeremy Gelb. Last updated 1 days ago.

kernel kernel-density-estimation network network-analysis spatial spatial-analysis spatial-data-analysis cpp

38 stars 7.74 score 52 scripts

kadyb

rgugik:Search and Retrieve Spatial Data from 'GUGiK'

Automatic open data acquisition from resources of Polish Head Office of Geodesy and Cartography ('Główny Urząd Geodezji i Kartografii') (<https://www.gov.pl/web/gugik>). Available datasets include various types of numeric, raster and vector data, such as orthophotomaps, digital elevation models (digital terrain models, digital surface model, point clouds), state register of borders, spatial databases, geometries of cadastral parcels, 3D models of buildings, and more. It is also possible to geocode addresses or objects using the geocodePL_get() function.

Maintained by Krzysztof Dyba. Last updated 21 days ago.

cartography geodesy gis open-data poland

34 stars 7.69 score 30 scripts

adamlilith

fasterRaster:Faster Raster and Spatial Vector Processing Using 'GRASS GIS'

Processing of large-in-memory/large-on disk rasters and spatial vectors using 'GRASS GIS' <https://grass.osgeo.org/>. Most functions in the 'terra' package are recreated. Processing of medium-sized and smaller spatial objects will nearly always be faster using 'terra' or 'sf', but for large-in-memory/large-on-disk objects, 'fasterRaster' may be faster. To use most of the functions, you must have the stand-alone version (not the 'OSGeoW4' installer version) of 'GRASS GIS' 8.0 or higher.

Maintained by Adam B. Smith. Last updated 3 days ago.

aspect distance fragmentation fragmentation-indices gis grass grass-gis raster raster-projection rasterize slope topography vectorization

57 stars 7.68 score 8 scripts

hiweller

recolorize:Color-Based Image Segmentation

Automatic, semi-automatic, and manual functions for generating color maps from images. The idea is to simplify the colors of an image according to a metric that is useful for the user, using deterministic methods whenever possible. Many images will be clustered well using the out-of-the-box functions, but the package also includes a toolbox of functions for making manual adjustments (layer merging/isolation, blurring, fitting to provided color clusters or those from another image, etc). Also includes export methods for other color/pattern analysis packages (pavo, patternize, colordistance).

Maintained by Hannah Weller. Last updated 27 days ago.

39 stars 7.68 score 87 scripts

cidree

rpostgis:R Interface to a 'PostGIS' Database

Provides an interface between R and 'PostGIS'-enabled 'PostgreSQL' databases to transparently transfer spatial data. Both vector (points, lines, polygons) and raster data are supported in read and write modes. Also provides convenience functions to execute common procedures in 'PostgreSQL/PostGIS'.

Maintained by Adrian Cidre Gonzalez. Last updated 4 months ago.

postgis postgresql-database

79 stars 7.67 score 244 scripts 2 dependents

usepa

spmodel:Spatial Statistical Modeling and Prediction

Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.

Maintained by Michael Dumelle. Last updated 17 days ago.

15 stars 7.66 score 112 scripts 3 dependents

davidbolin

rSPDE:Rational Approximations of Fractional Stochastic Partial Differential Equations

Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main references for rSPDE are Bolin, Simas and Xiong (2023) <doi:10.1080/10618600.2023.2231051> for the covariance-based method and Bolin and Kirchner (2020) <doi:10.1080/10618600.2019.1665537> for the operator-based rational approximation. These can be generated by the citation function in R.

Maintained by David Bolin. Last updated 8 days ago.

11 stars 7.65 score 188 scripts 3 dependents

walkerke

mapboxapi:R Interface to 'Mapbox' Web Services

Includes support for 'Mapbox' Navigation APIs, including directions, isochrones, and route optimization; the Search API for forward and reverse geocoding; the Maps API for interacting with 'Mapbox' vector tilesets and visualizing 'Mapbox' maps in R; and 'Mapbox Tiling Service' and 'tippecanoe' for generating map tiles. See <https://docs.mapbox.com/api/> for more information about the 'Mapbox' APIs.

Maintained by Kyle Walker. Last updated 2 months ago.

112 stars 7.61 score 304 scripts

pecanproject

PEcAn.PRELES:PEcAn Package for Integration of the PRELES Model

This module provides functions to run the PREdict Light use efficiency Evapotranspiration and Soil moisture (PRELES) model on the PEcAn project. The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool designed to simplify the management of model parameterization,execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by Tony Gardella. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants

216 stars 7.58 score 4 scripts

pecanproject

PEcAn.LDNDC:PEcAn package for integration of the LDNDC model

This module provides functions to link the (LDNDC) to PEcAn.

Maintained by Henri Kajasilta. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants jags cpp

216 stars 7.58 score

pecanproject

PEcAn.MAESPA:PEcAn Functions Used for Ecological Forecasts and Reanalysis using MAESPA

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.This package allows for MAESPA to be run through the PEcAN workflow.

Maintained by Tony Gardella. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants

216 stars 7.58 score 2 scripts

pecanproject

PEcAn.JULES:PEcAn Package for Integration of the JULES Model

This module provides functions to link the (JULES) to PEcAn.

Maintained by Mike Dietze. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants

216 stars 7.58 score

pecanproject

PEcAn.BASGRA:PEcAn Package for Integration of the BASGRA Model

This module provides functions to link the BASGRA model to PEcAn.

Maintained by Istem Fer. Last updated 3 days ago.

bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants fortran glibc

216 stars 7.58 score 1 scripts

bioc

imcRtools:Methods for imaging mass cytometry data analysis

This R package supports the handling and analysis of imaging mass cytometry and other highly multiplexed imaging data. The main functionality includes reading in single-cell data after image segmentation and measurement, data formatting to perform channel spillover correction and a number of spatial analysis approaches. First, cell-cell interactions are detected via spatial graph construction; these graphs can be visualized with cells representing nodes and interactions representing edges. Furthermore, per cell, its direct neighbours are summarized to allow spatial clustering. Per image/grouping level, interactions between types of cells are counted, averaged and compared against random permutations. In that way, types of cells that interact more (attraction) or less (avoidance) frequently than expected by chance are detected.

Maintained by Daniel Schulz. Last updated 5 months ago.

immunooncology singlecell spatial dataimport clustering imc single-cell

24 stars 7.58 score 126 scripts

alarm-redist

redistmetrics:Redistricting Metrics

Reliable and flexible tools for scoring redistricting plans using common measures and metrics. These functions provide key direct access to tools useful for non-simulation analyses of redistricting plans, such as for measuring compactness or partisan fairness. Tools are designed to work with the 'redist' package seamlessly.

Maintained by Christopher T. Kenny. Last updated 10 months ago.

openblas cpp

10 stars 7.57 score 23 scripts 2 dependents

kosukeimai

wru:Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation

Predicts individual race/ethnicity using surname, first name, middle name, geolocation, and other attributes, such as gender and age. The method utilizes Bayes' Rule (with optional measurement error correction) to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2016) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" Political Analysis <DOI:10.1093/pan/mpw001> and Imai, Olivella, and Rosenman (2022) "Addressing census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements" <DOI:10.1126/sciadv.adc9824>. The package also incorporates the data described in Rosenman, Olivella, and Imai (2023) "Race and ethnicity data for first, middle, and surnames" <DOI:10.1038/s41597-023-02202-2>.

Maintained by Brandon Bertelsen. Last updated 10 months ago.

cpp

133 stars 7.54 score 146 scripts

iobis

robis:Ocean Biodiversity Information System (OBIS) Client

Client for the Ocean Biodiversity Information System (<https://obis.org>).

Maintained by Pieter Provoost. Last updated 1 years ago.

41 stars 7.54 score 282 scripts

pierreroudier

clhs:Conditioned Latin Hypercube Sampling

Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <DOI:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <DOI:10.1201/b12728>).

Maintained by Pierre Roudier. Last updated 3 years ago.

cpp

12 stars 7.52 score 115 scripts 2 dependents

bart1

move2:Processing and Analysing Animal Trajectories

Tools to handle, manipulate and explore trajectory data, with an emphasis on data from tracked animals. The package is designed to support large studies with several million location records and keep track of units where possible. Data import directly from 'movebank' <https://www.movebank.org/cms/movebank-main> and files is facilitated.

Maintained by Bart Kranstauber. Last updated 2 months ago.

7.51 score 169 scripts 1 dependents

mbtyers

riverdist:River Network Distance Computation and Applications

Reads river network shape files and computes network distances. Also included are a variety of computation and graphical tools designed for fisheries telemetry research, such as minimum home range, kernel density estimation, and clustering analysis using empirical k-functions with a bootstrap envelope. Tools are also provided for editing the river networks, meaning there is no reliance on external software.

Maintained by Matt Tyers. Last updated 5 months ago.

26 stars 7.50 score 96 scripts

tgoodbody

sgsR:Structurally Guided Sampling

Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used, enabling data-driven stratifications and sampling approaches.

Maintained by Tristan RH Goodbody. Last updated 27 days ago.

46 stars 7.50 score 34 scripts

emf-creaf

medfate:Mediterranean Forest Simulation

Simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].

Maintained by Miquel De Cáceres. Last updated 23 days ago.

cpp

11 stars 7.49 score 183 scripts 1 dependents

sharlagelfand

opendatatoronto:Access the City of Toronto Open Data Portal

Access data from the "City of Toronto Open Data Portal" (<https://open.toronto.ca>) directly from R.

Maintained by Sharla Gelfand. Last updated 3 years ago.

63 stars 7.49 score 486 scripts

nowosad

motif:Local Pattern Analysis

Describes spatial patterns of categorical raster data for any defined regular and irregular areas. Patterns are described quantitatively using built-in signatures based on co-occurrence matrices but also allows for any user-defined functions. It enables spatial analysis such as search, change detection, and clustering to be performed on spatial patterns (Nowosad (2021) <doi:10.1007/s10980-020-01135-0>).

Maintained by Jakub Nowosad. Last updated 7 months ago.

categorical-raster global-ecology landscape-ecology spatial cpp

63 stars 7.48 score 48 scripts

ipeagit

gtfs2emis:Estimating Public Transport Emissions from General Transit Feed Specification (GTFS) Data

A bottom up model to estimate the emission levels of public transport systems based on General Transit Feed Specification (GTFS) data. The package requires two main inputs: i) Public transport data in the GTFS standard format; and ii) Some basic information on fleet characteristics such as fleet age, technology, fuel and Euro stage. As it stands, the package estimates several pollutants at high spatial and temporal resolutions. Pollution levels can be calculated for specific transport routes, trips, time of the day or for the transport system as a whole. The output with emission estimates can be extracted in different formats, supporting analysis on how emission levels vary across space, time and by fleet characteristics. A full description of the methods used in the 'gtfs2emis' model is presented in Vieira, J. P. B.; Pereira, R. H. M.; Andrade, P. R. (2022) <doi:10.31219/osf.io/8m2cy>.

Maintained by Joao Bazzo. Last updated 2 months ago.

emissions environmental-modelling gtfs public-transport rspatial transport

28 stars 7.47 score 29 scripts

ropensci

rsat:Dealing with Multiplatform Satellite Images

Downloading, customizing, and processing time series of satellite images for a region of interest. 'rsat' functions allow a unified access to multispectral images from Landsat, MODIS and Sentinel repositories. 'rsat' also offers capabilities for customizing satellite images, such as tile mosaicking, image cropping and new variables computation. Finally, 'rsat' covers the processing, including cloud masking, compositing and gap-filling/smoothing time series of images (Militino et al., 2018 <doi:10.3390/rs10030398> and Militino et al., 2019 <doi:10.1109/TGRS.2019.2904193>).

Maintained by Unai Pérez - Goya. Last updated 12 months ago.

satellite-images

54 stars 7.45 score 52 scripts

dboslab

expowo:An R package for mining global plant diversity and distribution data

Produces diversity estimates and species lists with associated global distribution for any vascular plant family and genus from 'Plants of the World Online' database <https://powo.science.kew.org/>, by interacting with the source code of each plant taxon page. It also creates global maps of species richness, graphics of species discoveries and nomenclatural changes over time. For more details

Maintained by Debora Zuanny. Last updated 6 days ago.

data-mining extractor

8 stars 7.44 score 64 scripts

epiverse-trace

ColOpenData:Download Colombian Demographic, Climate and Geospatial Data

Downloads wrangled Colombian socioeconomic, geospatial,population and climate data from DANE <https://www.dane.gov.co/> (National Administrative Department of Statistics) and IDEAM <https://ideam.gov.co> (Institute of Hydrology, Meteorology and Environmental Studies). It solves the problem of Colombian data being issued in different web pages and sources by using functions that allow the user to select the desired database and download it without having to do the exhausting acquisition process.

Maintained by Maria Camila Tavera-Cifuentes. Last updated 1 months ago.

climate colombia data-package demographics maps

11 stars 7.44 score 17 scripts

gpiras

sphet:Estimation of Spatial Autoregressive Models with and without Heteroskedastic Innovations

Functions for fitting Cliff-Ord-type spatial autoregressive models with and without heteroskedastic innovations using Generalized Method of Moments estimation are provided. Some support is available for fitting spatial HAC models, and for fitting with non-spatial endogeneous variables using instrumental variables.

Maintained by Gianfranco Piras. Last updated 20 days ago.

8 stars 7.43 score 188 scripts 3 dependents

momx

Momocs:Morphometrics using R

The goal of 'Momocs' is to provide a complete, convenient, reproducible and open-source toolkit for 2D morphometrics. It includes most common 2D morphometrics approaches on outlines, open outlines, configurations of landmarks, traditional morphometrics, and facilities for data preparation, manipulation and visualization with a consistent grammar throughout. It allows reproducible, complex morphometrics analyses and other morphometrics approaches should be easy to plug in, or develop from, on top of this canvas.

Maintained by Vincent Bonhomme. Last updated 1 years ago.

morphometrics

51 stars 7.42 score 346 scripts

ropensci

terrainr:Landscape Visualizations in R and 'Unity'

Functions for the retrieval, manipulation, and visualization of 'geospatial' data, with an aim towards producing '3D' landscape visualizations in the 'Unity' '3D' rendering engine. Functions are also provided for retrieving elevation data and base map tiles from the 'USGS' National Map <https://apps.nationalmap.gov/services/>.

Maintained by Michael Mahoney. Last updated 9 months ago.

datasets dems map map-tiles mapping national-map nhd orthoimagery peer-reviewed progressr retrieve-data terrainr unity unity-rendering-engine usgs

72 stars 7.40 score 87 scripts

16eagle

basemaps:Accessing Spatial Basemaps in R

A lightweight package to access spatial basemaps from open sources such as 'OpenStreetMap', 'Carto', 'Mapbox' and others in R.

Maintained by Jakob Schwalb-Willmann. Last updated 4 months ago.

basemaps carto esri mapbox maptiler openstreetmap osm spatial stadia stamen thunderforest

60 stars 7.38 score 307 scripts

umr-amap

StormR:Analyzing the Behaviour of Wind Generated by Tropical Storms and Cyclones

Set of functions to quantify and map the behaviour of winds generated by tropical storms and cyclones in space and time. It includes functions to compute and analyze fields such as the maximum sustained wind field, power dissipation index and duration of exposure to winds above a given threshold. It also includes functions to map the trajectories as well as characteristics of the storms.

Maintained by Thomas Arsouze. Last updated 3 months ago.

cyclones-behaviour tropical-storms

14 stars 7.36 score 7 scripts

uribo

jpmesh:Utilities for Japanese Mesh Code

Helpful functions for using mesh code (80km to 100m) data in Japan. Visualize mesh code using 'ggplot2' and 'leaflet', etc.

Maintained by Shinya Uryu. Last updated 2 months ago.

41 stars 7.35 score 60 scripts 3 dependents

gavinrozzi

zipcodeR:Data & Functions for Working with US ZIP Codes

Make working with ZIP codes in R painless with an integrated dataset of U.S. ZIP codes and functions for working with them. Search ZIP codes by multiple geographies, including state, county, city & across time zones. Also included are functions for relating ZIP codes to Census data, geocoding & distance calculations.

Maintained by Gavin Rozzi. Last updated 1 years ago.

80 stars 7.31 score 176 scripts

ropensci

occCite:Querying and Managing Large Biodiversity Occurrence Datasets

Facilitates the gathering of biodiversity occurrence data from disparate sources. Metadata is managed throughout the process to facilitate reporting and enhanced ability to repeat analyses.

Maintained by Hannah L. Owens. Last updated 5 months ago.

biodiversity-data biodiversity-informatics biodiversity-standards citations museum-collection-specimens museum-collections museum-metadata

23 stars 7.30 score 43 scripts

pgiraudoux

pgirmess:Spatial Analysis and Data Mining for Field Ecologists

Set of tools for reading, writing and transforming spatial and seasonal data, model selection and specific statistical tests for ecologists. It includes functions to interpolate regular positions of points between landmarks, to discretize polylines into regular point positions, link distant observations to points and convert a bounding box in a spatial object. It also provides miscellaneous functions for field ecologists such as spatial statistics and inference on diversity indexes, writing data.frame with Chinese characters.

Maintained by Patrick Giraudoux. Last updated 1 years ago.

5 stars 7.29 score 422 scripts 2 dependents

eldarrak

FLightR:Reconstruct Animal Paths from Solar Geolocation Loggers Data

Spatio-temporal locations of an animal are computed from annotated data with a hidden Markov model via particle filter algorithm. The package is relatively robust to varying degrees of shading. The hidden Markov model is described in Movement Ecology - Rakhimberdiev et al. (2015) <doi:10.1186/s40462-015-0062-5>, general package description is in the Methods in Ecology and Evolution - Rakhimberdiev et al. (2017) <doi:10.1111/2041-210X.12765> and package accuracy assessed in the Journal of Avian Biology - Rakhimberdiev et al. (2016) <doi:10.1111/jav.00891>.

Maintained by Eldar Rakhimberdiev. Last updated 6 months ago.

movement-ecology solar-geolocation-loggers solar-geolocator

23 stars 7.28 score 111 scripts

tobiste

tectonicr:Analyzing the Orientation of Maximum Horizontal Stress

Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.

Maintained by Tobias Stephan. Last updated 5 days ago.

geology structural-geology tectonics

7 stars 7.27 score 33 scripts

soerenpannier

emdi:Estimating and Mapping Disaggregated Indicators

Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation, the model-based unit-level approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>), the area-level model (see "Estimates of income for small places: An application of James-Stein procedures to Census Data" by Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>) and various extensions of it (adjusted variance estimation methods, log and arcsin transformation, spatial, robust and measurement error models), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel. For a detailed description of the package and the methods used see "The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07> and the second package vignette "A Framework for Producing Small Area Estimates Based on Area-Level Models in R".

Maintained by Soeren Pannier. Last updated 1 years ago.

15 stars 7.26 score 45 scripts 1 dependents

bluegreen-labs

MODISTools:Interface to the 'MODIS Land Products Subsets' Web Services

Programmatic interface to the Oak Ridge National Laboratories 'MODIS Land Products Subsets' web services (<https://modis.ornl.gov/data/modis_webservice.html>). Allows for easy downloads of 'MODIS' time series directly to your R workspace or your computer.

Maintained by Koen Hufkens. Last updated 1 years ago.

api remote-sensing satellite-data

1 stars 7.23 score 155 scripts 8 dependents

ropenspain

CatastRo:Interface to the API 'Sede Electronica Del Catastro'

Access public spatial data available under the 'INSPIRE' directive. Tools for downloading references and addresses of properties, as well as map images.

Maintained by Diego Hernangómez. Last updated 5 days ago.

catastro gis maps ropenspain spain spatial static-tiles

23 stars 7.22 score 14 scripts

darunabas

phyloregion:Biogeographic Regionalization and Macroecology

Computational infrastructure for biogeography, community ecology, and biodiversity conservation (Daru et al. 2020) <doi:10.1111/2041-210X.13478>. It is based on the methods described in Daru et al. (2020) <doi:10.1038/s41467-020-15921-6>. The original conceptual work is described in Daru et al. (2017) <doi:10.1016/j.tree.2017.08.013> on patterns and processes of biogeographical regionalization. Additionally, the package contains fast and efficient functions to compute more standard conservation measures such as phylogenetic diversity, phylogenetic endemism, evolutionary distinctiveness and global endangerment, as well as compositional turnover (e.g., beta diversity).

Maintained by Barnabas H. Daru. Last updated 5 months ago.

software

18 stars 7.21 score 50 scripts 1 dependents

arilamstein

choroplethr:Simplify the Creation of Choropleth Maps in R

Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps.

Maintained by Zhaochen He. Last updated 6 days ago.

3 stars 7.19 score 860 scripts 1 dependents

ropensci

rsi:Efficiently Retrieve and Process Satellite Imagery

Downloads spatial data from spatiotemporal asset catalogs ('STAC'), computes standard spectral indices from the Awesome Spectral Indices project (Montero et al. (2023) <doi:10.1038/s41597-023-02096-0>) against raster data, and glues the outputs together into predictor bricks. Methods focus on interoperability with the broader spatial ecosystem; function arguments and outputs use classes from 'sf' and 'terra', and data downloading functions support complex 'CQL2' queries using 'rstac'.

Maintained by Michael Mahoney. Last updated 2 days ago.

49 stars 7.17 score 38 scripts

ropensci

bowerbird:Keep a Collection of Sparkly Data Resources

Tools to get and maintain a data repository from third-party data providers.

Maintained by Ben Raymond. Last updated 18 days ago.

ropensci antarctic southern ocean data environmental satellite climate peer-reviewed

50 stars 7.16 score 16 scripts 1 dependents

ropensci

mapscanner:Print Maps, Draw on Them, Scan Them Back in

Enables preparation of maps to be printed and drawn on. Modified maps can then be scanned back in, and hand-drawn marks converted to spatial objects.

Maintained by Mark Padgham. Last updated 2 months ago.

maps scan spatial cpp

90 stars 7.13 score 2 scripts

ianjonsen

aniMotum:Fit Continuous-Time State-Space and Latent Variable Models for Quality Control of Argos Satellite (and Other) Telemetry Data and for Estimating Changes in Animal Movement

Fits continuous-time random walk, correlated random walk and move persistence state-space models for location estimation and behavioural inference from animal tracking data ('Argos', processed light-level 'geolocation', 'GPS'). Template Model Builder ('TMB') is used for fast random-effects estimation. The 'Argos' data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). A track re-routing function is provided to adjust location estimates for known movement barriers. Track simulation functions are provided. Latent variable models are also provided to estimate move persistence from track data not requiring state-space model filtering.

Maintained by Ian Jonsen. Last updated 2 days ago.

animal-movement animal-tracking random-effects-model state-space-models tmb cpp

39 stars 7.11 score 59 scripts

michaeldorman

mapsapi:'sf'-Compatible Interface to 'Google Maps' APIs

Interface to the 'Google Maps' APIs: (1) routing directions based on the 'Directions' API, returned as 'sf' objects, either as single feature per alternative route, or a single feature per segment per alternative route; (2) travel distance or time matrices based on the 'Distance Matrix' API; (3) geocoded locations based on the 'Geocode' API, returned as 'sf' objects, either points or bounds; (4) map images using the 'Maps Static' API, returned as 'stars' objects.

Maintained by Michael Dorman. Last updated 2 years ago.

51 stars 7.10 score 99 scripts

joshobrien

gdalUtilities:Wrappers for 'GDAL' Utilities Executables

R's 'sf' package ships with self-contained 'GDAL' executables, including a bare bones interface to several 'GDAL'-related utility programs collectively known as the 'GDAL utilities'. For each of those utilities, this package provides an R wrapper whose formal arguments closely mirror those of the 'GDAL' command line interface. The utilities operate on data stored in files and typically write their output to other files. Therefore, to process data stored in any of R's more common spatial formats (i.e. those supported by the 'sf' and 'terra' packages), first write them to disk, then process them with the package's wrapper functions before reading the outputted results back into R. GDAL function arguments introduced in GDAL version 3.5.2 or earlier are supported.

Maintained by Joshua OBrien. Last updated 2 years ago.

37 stars 7.09 score 252 scripts 6 dependents

niehs

amadeus:Accessing and Analyzing Large-Scale Environmental Data

Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.

Maintained by Kyle Messier. Last updated 1 months ago.

8 stars 7.07 score 13 scripts