Showing 38 of total 38 results (show query)
rspatial
terra:Spatial Data Analysis
Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Maintained by Robert J. Hijmans. Last updated 4 hours ago.
geospatialrasterspatialvectoronetbbprojgdalgeoscpp
22.5 match 559 stars 17.64 score 17k scripts 851 dependentsrspatial
raster:Geographic Data Analysis and Modeling
Reading, writing, manipulating, analyzing and modeling of spatial data. This package has been superseded by the "terra" package <https://CRAN.R-project.org/package=terra>.
Maintained by Robert J. Hijmans. Last updated 2 months ago.
22.0 match 164 stars 17.05 score 58k scripts 555 dependentsrspatial
geosphere:Spherical Trigonometry
Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.
Maintained by Robert J. Hijmans. Last updated 5 months ago.
22.0 match 36 stars 13.79 score 5.7k scripts 116 dependentsrspatial
rspatial:rspatial.org data
Data to support the examples on rspatial.org
Maintained by Robert J. Hijmans. Last updated 5 years ago.
84.2 match 6 stars 3.47 score 99 scriptsrspatial
dismo:Species Distribution Modeling
Methods for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.
Maintained by Robert J. Hijmans. Last updated 4 months ago.
22.0 match 26 stars 11.88 score 2.8k scripts 21 dependentsrspatial
geodata:Download Geographic Data
Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, crops, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.
Maintained by Robert J. Hijmans. Last updated 1 months ago.
22.0 match 162 stars 10.75 score 1.5k scripts 7 dependentsrspatial
predicts:Spatial Prediction Tools
Methods for spatial predictive modeling, especially for spatial distribution models. This includes algorithms for model fitting and prediction, as well as methods for model evaluation.
Maintained by Robert J. Hijmans. Last updated 2 months ago.
22.0 match 10 stars 7.46 score 108 scripts 8 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 4 hours ago.
terraggplot-extensionr-spatialrspatial
11.0 match 191 stars 13.62 score 1.9k scripts 25 dependents
jessecambon
tidygeocoder:Geocoding Made Easy
An intuitive interface for getting data from geocoding services.
Maintained by Jesse Cambon. Last updated 4 months ago.
11.0 match 287 stars 11.35 score 1.0k scripts 9 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-networksnetwork-analysisrspatialsimple-featuresspatial-analysisspatial-data-sciencespatial-networkstidygraphtidyverse
11.0 match 372 stars 9.63 score 332 scripts 6 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 1 months ago.
big-earth-datacbersearth-observationeo-datacubesgeospatialimage-time-seriesland-cover-classificationlandsatplanetary-computerr-spatialremote-sensingrspatialsatellite-image-time-seriessatellite-imagerysentinel-2stac-apistac-catalogcpp
11.0 match 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.
11.0 match 106 stars 9.40 score 199 scripts 14 dependents
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.
bayesianbayesian-inferencebayesian-statisticsepidemiologymodelingpublic-healthrspatialspatialstancpp
11.0 match 80 stars 8.82 score 46 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 23 days ago.
apigeocodinggishere-technologiesisolineroutingrspatialtrafficweather
11.0 match 90 stars 8.70 score 63 scripts
ropensci
opencage:Geocode with the OpenCage API
Geocode with the OpenCage API, either from place name to longitude and latitude (forward geocoding) or from longitude and latitude to the name and address of a location (reverse geocoding), see <https://opencagedata.com>.
Maintained by Daniel Possenriede. Last updated 2 months ago.
geocodegeocoderopencageopencage-apiopencage-geocoderpeer-reviewedplacenamesrspatial
11.0 match 87 stars 8.39 score 79 scripts
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-formatgtfsgtfs-formatpublic-transportrspatialtransportcpp
11.0 match 73 stars 8.22 score 101 scripts 1 dependentsrspatial
luna:Tools for Satellite Remote Sensing (Earth Observation) Data Processing
Tools for acquiring and (pre-) processing satellite remote sensing data. Including for downloading data from NASA such as LANDSAT and MODIS.
Maintained by Robert J. Hijmans. Last updated 3 months ago.
22.0 match 34 stars 3.95 score 52 scriptsipeagit
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.
emissionsenvironmental-modellinggtfspublic-transportrspatialtransport
11.0 match 28 stars 7.47 score 29 scripts
nowosad
supercells:Superpixels of Spatial Data
Creates superpixels based on input spatial data. This package works on spatial data with one variable (e.g., continuous raster), many variables (e.g., RGB rasters), and spatial patterns (e.g., areas in categorical rasters). It is based on the SLIC algorithm (Achanta et al. (2012) <doi:10.1109/TPAMI.2012.120>), and readapts it to work with arbitrary dissimilarity measures.
Maintained by Jakub Nowosad. Last updated 7 months ago.
11.0 match 68 stars 6.50 score 52 scripts
crazycapivara
deckgl:An R Interface to 'deck.gl'
Makes 'deck.gl' <https://deck.gl/>, a WebGL-powered open-source JavaScript framework for visual exploratory data analysis of large datasets, available within R via the 'htmlwidgets' package. Furthermore, it supports basemaps from 'mapbox' <https://www.mapbox.com/> via 'mapbox-gl-js' <https://github.com/mapbox/mapbox-gl-js>.
Maintained by Stefan Kuethe. Last updated 2 years ago.
deck-glhtmlwidgetsmapbox-glmapsrspatialspatialwebgl
11.0 match 94 stars 6.40 score 54 scriptsrspatial
rspat:rspatial.org data -- terra version
Data to support the examples on rspatial.org
Maintained by Robert J. Hijmans. Last updated 2 years ago.
28.9 match 2 stars 2.41 score 26 scripts
elipousson
sfext:Extra Functions for Simple Feature Data
Extra functions with additional options for reading, writing, and transforming spatial data. Includes a variety of utility functions for working with tabular data with coordinates and distance and area units.
Maintained by Eli Pousson. Last updated 4 months ago.
11.0 match 20 stars 6.03 score 24 scripts 5 dependentsriatelab
mapiso:Create Contour Polygons from Regular Grids
Regularly spaced grids containing continuous data are transformed to contour polygons. A grid can be defined by a data.frame (x, y, value), an 'sf' object or a raster from 'terra'.
Maintained by Timothée Giraud. Last updated 2 years ago.
11.0 match 36 stars 6.03 score 3 scripts 4 dependentsriatelab
MTA:Multiscalar Territorial Analysis
Build multiscalar territorial analysis based on various contexts.
Maintained by Timothée Giraud. Last updated 1 years ago.
11.0 match 7 stars 6.02 score 15 scriptsmunterfi
flexpolyline:Flexible Polyline Encoding
Binding to the C++ implementation of the flexible polyline encoding by HERE <https://github.com/heremaps/flexible-polyline>. The flexible polyline encoding is a lossy compressed representation of a list of coordinate pairs or coordinate triples. The encoding is achieved by: (1) Reducing the decimal digits of each value; (2) encoding only the offset from the previous point; (3) using variable length for each coordinate delta; and (4) using 64 URL-safe characters to display the result.
Maintained by Merlin Unterfinger. Last updated 2 years ago.
gisheremapspolylinepolyline-decoderpolyline-encoderrspatialcpp
11.0 match 9 stars 5.75 score 14 scripts 1 dependents
ausclimateservice
TCHazaRds:Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling
Methods for generating modelled parametric Tropical Cyclone (TC) spatial hazard fields and time series output at point locations from TC tracks. R's compatibility to simply use fast 'cpp' code via the 'Rcpp' package and the wide range spatial analysis tools via the 'terra' package makes it an attractive open source environment to study 'TCs'. This package estimates TC vortex wind and pressure fields using parametric equations originally coded up in 'python' by 'TCRM' <https://github.com/GeoscienceAustralia/tcrm> and then coded up in 'Cuda' 'cpp' by 'TCwindgen' <https://github.com/CyprienBosserelle/TCwindgen>.
Maintained by Julian OGrady. Last updated 2 months ago.
natural-hazardsrspatialtropical-cyclonecpp
11.0 match 4 stars 5.00 scoreelipousson
getdata:Get Easy Access to Tabular and Spatial Data
Download and format spatial and non-spatial data with simple filtering by location.
Maintained by Eli Pousson. Last updated 5 months ago.
11.0 match 12 stars 4.46 score 18 scripts 3 dependentsriatelab
potential:Implementation of the Potential Model
Provides functions to compute the potential model as defined by Stewart (1941) <doi:10.1126/science.93.2404.89>. Several options are available to customize the model, such as the possibility to fine-tune the distance friction functions or to use custom distance matrices. Some computations are parallelized to improve their efficiency.
Maintained by Timothée Giraud. Last updated 2 years ago.
11.0 match 26 stars 4.32 score 16 scriptscrazycapivara
graphhopper:An R Interface to the 'GraphHopper' Directions API
Provides a quick and easy access to the 'GraphHopper' Directions API. 'GraphHopper' <https://www.graphhopper.com/> itself is a routing engine based on 'OpenStreetMap' data. API responses can be converted to simple feature (sf) objects in a convenient way.
Maintained by Stefan Kuethe. Last updated 4 years ago.
api-clientgraphhopperrouting-enginerspatialtravel-times
11.0 match 19 stars 4.15 score 15 scriptselipousson
mapbaltimore:Make maps for Baltimore City with open data
This package provides data from the Baltimore City, the state of Maryland, and other sources, functions to access additional data, and function to create and modify simple maps of Baltimore neighborhoods using sf and ggplot2.
Maintained by Eli Pousson. Last updated 4 months ago.
11.0 match 17 stars 3.85 score 14 scriptsnowosad
regional:Intra- and Inter-Regional Similarity
Calculates intra-regional and inter-regional similarities based on user-provided spatial vector objects (regions) and spatial raster objects (cells with values). Implemented metrics include inhomogeneity, isolation (Haralick and Shapiro (1985) <doi:10.1016/S0734-189X(85)90153-7>, Jasiewicz et al. (2018) <doi:10.1016/j.cageo.2018.06.003>), and distinction (Nowosad (2021) <doi:10.1080/13658816.2021.1893324>).
Maintained by Jakub Nowosad. Last updated 10 months ago.
11.0 match 12 stars 3.78 score 9 scripts
giocomai
latlon2map:Facilitates matching lat/lon data with administrative units and other geographic shapes
Facilitates matching lat/lon data with administrative units and other geographic shapes
Maintained by Giorgio Comai. Last updated 5 months ago.
11.0 match 10 stars 3.70 scoreelipousson
maplayer:Make Map Layers With ggplot2
Make map-making with ggplot2 and sf more convenient with layers that subset by location.
Maintained by Eli Pousson. Last updated 6 months ago.
11.0 match 9 stars 3.26 score 7 scriptselipousson
crashapi:CrashAPI
Get Fatality Analysis Reporting System (FARS) data with the FARS API from the U.S. National Highway Traffic Safety Administration (NHTSA).
Maintained by Eli Pousson. Last updated 6 months ago.
11.0 match 17 stars 3.23 score 7 scripts
statnmap
HatchedPolygons:Create a hatched area for SpatialPolygons
This package allows to create a area filled by SpatialLines to allow for hatched areas in SpatialPolygons. This may be particularly useful when SpatialPolygons show holes but also for drawing hatched areas in leaflet Polygons.
Maintained by Sébastien Rochette. Last updated 10 months ago.
11.0 match 11 stars 2.89 score 14 scripts
vlucet
rgrassdoc:Consult 'Grass GIS' Documentation in the RStudio Viewer or your Browser
A tool for easy viewing of the documentation of 'GRASS GIS' (see <https://grass.osgeo.org/>). Pages of the 'GRASS GIS' manuals found at <https://grass.osgeo.org/grass78/manuals/full_index.html> and at <https://grass.osgeo.org/grass78/manuals/addons/> can be viewed within the Viewer pane of 'RStudio', or be opened in the user's default browser.
Maintained by Valentin Lucet. Last updated 4 years ago.
documentationgrass-gisrspatial
11.0 match 6 stars 2.48 score 5 scriptselipousson
mapmaryland:Easy Access to Maryland Spatial Data
A small collection of data sources and utility functions for working with state and county data sources in Maryland.
Maintained by Eli Pousson. Last updated 5 months ago.
11.0 match 3 stars 2.48 score 4 scriptselipousson
birdseyeview:Make Planning Maps, Tables, and Visualizations
This package helps create maps, tables, and figures for planning documents using open spatial data. birdseyeview is designed to work with the sfext and maplayer packages and relies on sf, ggplot2, and gt.
Maintained by Eli Pousson. Last updated 2 years ago.
11.0 match 1.70 score 2 scripts