R-universe search: terra

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 1 days ago.

geospatial raster spatial vector onetbb proj gdal geos cpp

61.1 match 559 stars 17.65 score 17k scripts 849 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 days ago.

terra ggplot-extension r-spatial rspatial

18.9 match 191 stars 13.59 score 1.9k scripts 24 dependents

bioc

AnVILWorkflow:Run workflows implemented in Terra/AnVIL workspace

The AnVIL is a cloud computing resource developed in part by the National Human Genome Research Institute. The main cloud-based genomics platform deported by the AnVIL project is Terra. The AnVILWorkflow package allows remote access to Terra implemented workflows, enabling end-user to utilize Terra/ AnVIL provided resources - such as data, workflows, and flexible/scalble computing resources - through the conventional R functions.

Maintained by Sehyun Oh. Last updated 27 days ago.

infrastructure software anvil gcp terra workflows

20.1 match 6 stars 6.03 score 1 scripts

ropensci

geotargets:'Targets' Extensions for Geographic Spatial Formats

Provides extensions for various geographic spatial file formats, such as shape files and rasters. Currently provides support for the 'terra' geographic spatial formats. See the vignettes for worked examples, demonstrations, and explanations of how to use the various package extensions.

Maintained by Nicholas Tierney. Last updated 3 days ago.

geospatial pipeline r-targetopia raster reproducibility reproducible-research targets vector workflow

16.3 match 72 stars 6.78 score

dieghernan

rasterpic:Convert Digital Images into 'SpatRaster' Objects

Generate 'SpatRaster' objects, as defined by the 'terra' package, from digital images, using a specified spatial object as a geographical reference.

Maintained by Diego Hernangómez. Last updated 4 days ago.

jpeg jpg maps png raster sf terra tif tiff

11.5 match 12 stars 6.10 score 14 scripts

brownag

rgeedim:Search, Composite, and Download 'Google Earth Engine' Imagery with the 'Python' Module 'geedim'

Search, composite, and download 'Google Earth Engine' imagery with 'reticulate' bindings for the 'Python' module 'geedim' by Dugal Harris. Read the 'geedim' documentation here: <https://geedim.readthedocs.io/>. Wrapper functions are provided to make it more convenient to use 'geedim' to download images larger than the 'Google Earth Engine' size limit <https://developers.google.com/earth-engine/apidocs/ee-image-getdownloadurl>. By default the "High Volume" API endpoint <https://developers.google.com/earth-engine/cloud/highvolume> is used to download data and this URL can be customized during initialization of the package.

Maintained by Andrew Brown. Last updated 23 days ago.

geedim geotiff gis google-earth-engine python raster remote-sensing satellite-imagery spatial terra

11.0 match 48 stars 5.81 score 27 scripts

nepem-ufsc

pliman:Tools for Plant Image Analysis

Tools for both single and batch image manipulation and analysis (Olivoto, 2022 <doi:10.1111/2041-210X.13803>) and phytopathometry (Olivoto et al., 2022 <doi:10.1007/S40858-021-00487-5>). The tools can be used for the quantification of leaf area, object counting, extraction of image indexes, shape measurement, object landmark identification, and Elliptical Fourier Analysis of object outlines (Claude (2008) <doi:10.1007/978-0-387-77789-4>). The package also provides a comprehensive pipeline for generating shapefiles with complex layouts and supports high-throughput phenotyping of RGB, multispectral, and hyperspectral orthomosaics. This functionality facilitates field phenotyping using UAV- or satellite-based imagery.

Maintained by Tiago Olivoto. Last updated 2 days ago.

openblas fftw3 cpp openmp

9.4 match 10 stars 6.68 score 476 scripts

bioc

AnVIL:Bioconductor on the AnVIL compute environment

The AnVIL is a cloud computing resource developed in part by the National Human Genome Research Institute. The AnVIL package provides end-user and developer functionality. For the end-user, AnVIL provides fast binary package installation, utitlities for working with Terra / AnVIL table and data resources, and convenient functions for file movement to and from Google cloud storage. For developers, AnVIL provides programatic access to the Terra, Leonardo, Rawls, and Dockstore RESTful programming interface, including helper functions to transform JSON responses to formats more amenable to manipulation in R.

Maintained by Marcel Ramos. Last updated 23 days ago.

infrastructure

7.1 match 8.80 score 250 scripts 10 dependents

bioc

terraTCGAdata:OpenAccess TCGA Data on Terra as MultiAssayExperiment

Leverage the existing open access TCGA data on Terra with well-established Bioconductor infrastructure. Make use of the Terra data model without learning its complexities. With a few functions, you can copy / download and generate a MultiAssayExperiment from the TCGA example workspaces provided by Terra.

Maintained by Marcel Ramos. Last updated 5 months ago.

software infrastructure dataimport bioconductor-package

12.9 match 4.60 score 4 scripts

ropensci

getCRUCLdata:'CRU' 'CL' v. 2.0 Climatology Client

Provides functions that automate downloading and importing University of East Anglia Climate Research Unit ('CRU') 'CL' v. 2.0 climatology data, facilitates the calculation of minimum temperature and maximum temperature and formats the data into a data.table object or a list of 'terra' 'rast' objects for use. 'CRU' 'CL' v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arc minutes (0.1666667 degree) resolution. For more information see the description of the data provided by the University of East Anglia Climate Research Unit, <https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.

Maintained by Adam H. Sparks. Last updated 10 days ago.

anglia-cru climate-data cru-cl2 temperature rainfall elevation data-access wind relative-humidity solar-radiation diurnal-temperature frost cru peer-reviewed

7.2 match 18 stars 6.83 score 18 scripts

carlos-alberto-silva

ICESat2VegR:NASA's Ice, Cloud, and Elevation Satellite (ICESat-2) Data Analysis for Land and Vegetation Applications

Set of tools for downloading, reading, visualizing, processing and exporting NASA's ICESat-2 ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products for Land and Vegetation Applications.

Maintained by Caio Hamamura. Last updated 6 months ago.

gdal proj cpp

10.5 match 11 stars 4.57 score 21 scripts

mikejohnson51

climateR:climateR

Find, subset, and retrive geospatial data by AOI.

Maintained by Mike Johnson. Last updated 3 months ago.

aoi climate dataset geospatial gridded-climate-data weather

5.2 match 187 stars 8.74 score 156 scripts 1 dependents

predictiveecology

reproducible:Enhance Reproducibility of R Code

A collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs(). Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions().

Maintained by Eliot J B McIntire. Last updated 30 days ago.

reproducibility reproducible-research

3.9 match 41 stars 10.39 score 122 scripts 15 dependents

edzer

sp:Classes and Methods for Spatial Data

Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.

Maintained by Edzer Pebesma. Last updated 2 months ago.

2.0 match 127 stars 18.63 score 35k scripts 1.3k dependents

opengeos

whitebox:'WhiteboxTools' R Frontend

An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. Suggested citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.

Maintained by Andrew Brown. Last updated 5 months ago.

geomorphometry geoprocessing geospatial gis hydrology remote-sensing rstudio

3.6 match 173 stars 9.65 score 203 scripts 2 dependents

liuyanguu

SHAPforxgboost:SHAP Plots for 'XGBoost'

Aid in visual data investigations using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost' and 'LightGBM'. It provides summary plot, dependence plot, interaction plot, and force plot and relies on the SHAP implementation provided by 'XGBoost' and 'LightGBM'. Please refer to 'slundberg/shap' for the original implementation of SHAP in 'Python'.

Maintained by Yang Liu. Last updated 12 months ago.

3.4 match 110 stars 8.86 score 284 scripts 1 dependents

roelandkindt

BiodiversityR:Package for Community Ecology and Suitability Analysis

Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.

Maintained by Roeland Kindt. Last updated 2 months ago.

3.9 match 16 stars 7.42 score 390 scripts 2 dependents

maxwell-geospatial

geodl:Geospatial Semantic Segmentation with Torch and Terra

Provides tools for semantic segmentation of geospatial data using convolutional neural network-based deep learning. Utility functions allow for creating masks, image chips, data frames listing image chips in a directory, and DataSets for use within DataLoaders. Additional functions are provided to serve as checks during the data preparation and training process. A UNet architecture can be defined with 4 blocks in the encoder, a bottleneck block, and 4 blocks in the decoder. The UNet can accept a variable number of input channels, and the user can define the number of feature maps produced in each encoder and decoder block and the bottleneck. Users can also choose to (1) replace all rectified linear unit (ReLU) activation functions with leaky ReLU or swish, (2) implement attention gates along the skip connections, (3) implement squeeze and excitation modules within the encoder blocks, (4) add residual connections within all blocks, (5) replace the bottleneck with a modified atrous spatial pyramid pooling (ASPP) module, and/or (6) implement deep supervision using predictions generated at each stage in the decoder. A unified focal loss framework is implemented after Yeung et al. (2022) <https://doi.org/10.1016/j.compmedimag.2021.102026>. We have also implemented assessment metrics using the 'luz' package including F1-score, recall, and precision. Trained models can be used to predict to spatial data without the need to generate chips from larger spatial extents. Functions are available for performing accuracy assessment. The package relies on 'torch' for implementing deep learning, which does not require the installation of a 'Python' environment. Raster geospatial data are handled with 'terra'. Models can be trained using a Compute Unified Device Architecture (CUDA)-enabled graphics processing unit (GPU); however, multi-GPU training is not supported by 'torch' in 'R'.

Maintained by Aaron Maxwell. Last updated 8 months ago.

3.5 match 12 stars 6.98 score 20 scripts

idem-lab

sdmtools:Utility tools for Species Distribution Modelling

What the package does (one paragraph).

Maintained by Gerry Ryan. Last updated 3 months ago.

3.8 match 9 stars 6.13 score 674 scripts

r-spatial

qgisprocess:Use 'QGIS' Processing Algorithms

Provides seamless access to the 'QGIS' (<https://qgis.org>) processing toolbox using the standalone 'qgis_process' command-line utility. Both native and third-party (plugin) processing providers are supported. Beside referring data sources from file, also common objects from 'sf', 'terra' and 'stars' are supported. The native processing algorithms are documented by QGIS.org (2024) <https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.

Maintained by Floris Vanderhaeghe. Last updated 5 months ago.

2.2 match 210 stars 10.09 score 175 scripts

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 1 months ago.

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

1.8 match 275 stars 10.10 score 1.1k scripts

biomodhub

biomod2:Ensemble Platform for Species Distribution Modeling

Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.

Maintained by Maya Gueguen. Last updated 5 days ago.

1.2 match 95 stars 13.88 score 536 scripts 7 dependents

kwstat

agridat:Agricultural Datasets

Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.

Maintained by Kevin Wright. Last updated 27 days ago.

data

1.5 match 125 stars 11.02 score 1.7k scripts 2 dependents

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

1.7 match 73 stars 8.65 score 254 scripts

rspatial

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.

cpp

0.8 match 164 stars 17.05 score 58k scripts 555 dependents

hypertidy

vapour:Access to the 'Geospatial Data Abstraction Library' ('GDAL')

Provides low-level access to 'GDAL' functionality. 'GDAL' is the 'Geospatial Data Abstraction Library' a translator for raster and vector geospatial data formats that presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats <https://gdal.org/>. This package is focussed on providing exactly and only what GDAL does, to enable developing further tools.

Maintained by Michael Sumner. Last updated 9 months ago.

cpp gdal gdal-api cpp

1.5 match 86 stars 9.39 score 63 scripts 5 dependents

pik-piam

magpie4:MAgPIE outputs R package for MAgPIE version 4.x

Common output routines for extracting results from the MAgPIE framework (versions 4.x).

Maintained by Benjamin Leon Bodirsky. Last updated 2 days ago.

1.8 match 2 stars 7.87 score 254 scripts 9 dependents

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

1.9 match 63 stars 7.48 score 48 scripts

douglasterra

DEGRE:Inferring Differentially Expressed Genes using Generalized Linear Mixed Models

Genes that are differentially expressed between two or more experimental conditions can be detected in RNA-Seq. A high biological variability may impact the discovery of these genes once it may be divergent between the fixed effects. However, this variability can be covered by the random effects. 'DEGRE' was designed to identify the differentially expressed genes considering fixed and random effects on individuals. These effects are identified earlier in the experimental design matrix. 'DEGRE' has the implementation of preprocessing procedures to clean the near zero gene reads in the count matrix, normalize by 'RLE' published in the 'DESeq2' package, 'Love et al. (2014)' <doi:10.1186/s13059-014-0550-8> and it fits a regression for each gene using the Generalized Linear Mixed Model with the negative binomial distribution, followed by a Wald test to assess the regression coefficients.

Maintained by Douglas Terra Machado. Last updated 2 years ago.

8.2 match 1.70 score

bioc

AnVILBilling:Provide functions to retrieve and report on usage expenses in NHGRI AnVIL (anvilproject.org).

AnVILBilling helps monitor AnVIL-related costs in R, using queries to a BigQuery table to which costs are exported daily. Functions are defined to help categorize tasks and associated expenditures, and to visualize and explore expense profiles over time. This package will be expanded to help users estimate costs for specific task sets.

Maintained by Vince Carey. Last updated 5 months ago.

infrastructure software

3.0 match 4.30 score 5 scripts

danlwarren

ENMTools:Analysis of Niche Evolution using Niche and Distribution Models

Constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography. Warren, D.L., R.E. Glor, and M. Turelli (2008) <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011) <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M. Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L. Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R. Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.

Maintained by Dan Warren. Last updated 2 months ago.

1.8 match 105 stars 6.91 score 126 scripts

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

1.8 match 1 stars 6.90 score 155 scripts 4 dependents

adamlilith

enmSdmX:Species Distribution Modeling and Ecological Niche Modeling

Implements species distribution modeling and ecological niche modeling, including: bias correction, spatial cross-validation, model evaluation, raster interpolation, biotic "velocity" (speed and direction of movement of a "mass" represented by a raster), interpolating across a time series of rasters, and use of spatially imprecise records. The heart of the package is a set of "training" functions which automatically optimize model complexity based number of available occurrences. These algorithms include MaxEnt, MaxNet, boosted regression trees/gradient boosting machines, generalized additive models, generalized linear models, natural splines, and random forests. To enhance interoperability with other modeling packages, no new classes are created. The package works with 'PROJ6' geodetic objects and coordinate reference systems.

Maintained by Adam B. Smith. Last updated 24 days ago.

bias-correction biogeography ecological-niche-modeling ecological-niche-modelling niche-modeling niche-modelling species-distribution-modeling openjdk

1.7 match 25 stars 5.62 score 37 scripts

bioc

AnVILAz:R / Bioconductor Support for the AnVIL Azure Platform

The AnVIL is a cloud computing resource developed in part by the National Human Genome Research Institute. The AnVILAz package supports end-users and developers using the AnVIL platform in the Azure cloud. The package provides a programmatic interface to AnVIL resources, including workspaces, notebooks, tables, and workflows. The package also provides utilities for managing resources, including copying files to and from Azure Blob Storage, and creating shared access signatures (SAS) for secure access to Azure resources.

Maintained by Marcel Ramos. Last updated 5 months ago.

software infrastructure thirdpartyclient

1.8 match 5.45 score 5 scripts

ptaconet

modisfast:Fast and Efficient Access to MODIS Earth Observation Data

Programmatic interface to several NASA Earth Observation 'OPeNDAP' servers (Open-source Project for a Network Data Access Protocol) (<https://www.opendap.org/>). Allows for easy downloads of MODIS subsets, as well as other Earth Observation datacubes, in a time-saving and efficient way : by sampling it at the very downloading phase (spatially, temporally and dimensionally).

Maintained by Paul Taconet. Last updated 5 days ago.

data-cube earth-science-data environmental-data gpm land modis nasa opendap precipitation-data temperature-data vegetation-data viirs

1.7 match 29 stars 5.60 score 13 scripts

jepsonnomad

phenomap:Projecting Satellite-Derived Phenology in Space

This takes in a series of multi-layer raster files and returns a phenology projection raster, following methodologies described in John (2016) <https://etda.libraries.psu.edu/catalog/13521clj5135>.

Maintained by Christian John. Last updated 1 years ago.

2.6 match 2 stars 3.30 score 3 scripts

christopherkenny

dots:Dot Density Maps

Generate point data for representing people within spatial data. This collects a suite of tools for creating simple dot density maps. Several functions from different spatial packages are standardized to take the same arguments so that they can be easily substituted for each other.

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

2.0 match 3 stars 4.18 score 8 scripts

josesamos

satres:Grouping Satellite Bands by Spectral and Spatial Resolution

Given raster files directly downloaded from various websites, it generates a raster structure where it merges them if they are tiles of the same scene and classifies them according to their spectral and spatial resolution for easy access by name.

Maintained by Jose Samos. Last updated 5 months ago.

2.0 match 4.00 score 9 scripts

rspatial

rspat:rspatial.org data -- terra version

Data to support the examples on rspatial.org

Maintained by Robert J. Hijmans. Last updated 2 years ago.

3.0 match 2 stars 2.41 score 26 scripts

robeltakele

AquaBEHER:Estimation and Prediction of Wet Season Calendar and Soil Water Balance for Agriculture

Computes and integrates daily potential evapotranspiration (PET) and a soil water balance model. It allows users to estimate and predict the wet season calendar, including onset, cessation, and duration, based on an agroclimatic approach for a specified period. This functionality helps in managing agricultural water resources more effectively. For detailed methodologies, users can refer to Allen et al. (1998, ISBN:92-5-104219-5); Allen (2005, ISBN:9780784408056); Doorenbos and Pruitt (1975, ISBN:9251002797); Guo et al. (2016) <doi:10.1016/j.envsoft.2015.12.019>; Hargreaves and Samani (1985) <doi:10.13031/2013.26773>; Priestley and Taylor (1972) <https://journals.ametsoc.org/view/journals/apme/18/7/1520-0450_1979_018_0898_tptema_2_0_co_2.xml>.

Maintained by Robel Takele. Last updated 15 days ago.

growing-season seasonal-calendar soil-moisture soil-water-balance

1.3 match 10 stars 5.78 score 6 scripts

bluegreen-labs

appeears:Interface to 'AppEEARS' NASA Web Services

Programmatic interface to the NASA Application for Extracting and Exploring Analysis Ready Samples services (AppEEARS; <https://appeears.earthdatacloud.nasa.gov/>). The package provides easy access to analysis ready earth observation data in R.

Maintained by Koen Hufkens. Last updated 19 days ago.

api data-science remote-sensing

1.3 match 11 stars 5.22 score 15 scripts

r-spatialecology

landscapemetrics:Landscape Metrics for Categorical Map Patterns

Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' (<https://www.fragstats.org/>) and new ones from the current literature on landscape metrics. This package supports 'terra' SpatRaster objects as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.

Maintained by Maximilian H.K. Hesselbarth. Last updated 1 months ago.

landscape-ecology landscape-metrics raster spatial cpp

0.5 match 240 stars 12.47 score 584 scripts 4 dependents

futureverse

marshal:Framework to Marshal Objects to be Used in Another R Process

Some types of R objects can be used only in the R session they were created. If used as-is in another R process, such objects often result in an immediate error or in obscure and hard-to-troubleshoot outcomes. Because of this, they cannot be saved to file and re-used at a later time. They can also not be exported to a worker in parallel processing. These objects are sometimes referred to as non-exportable or non-serializable objects. One solution to this problem is to use "marshalling" to encode the R object into an exportable representation that then can be used to re-create a copy of that object in another R process. This package provides a framework for marshalling and unmarshalling R objects such that they can be transferred using functions such as serialize() and unserialize() of base R.

Maintained by Henrik Bengtsson. Last updated 1 years ago.

marshalling parallel serialization

2.0 match 14 stars 3.10 score 18 scripts

henrikbengtsson

marshal:Framework to Marshal Objects to be Used in Another R Process

Some types of R objects can be used only in the R session they were created. If used as-is in another R process, such objects often result in an immediate error or in obscure and hard-to-troubleshoot outcomes. Because of this, they cannot be saved to file and re-used at a later time. They can also not be exported to a worker in parallel processing. These objects are sometimes referred to as non-exportable or non-serializable objects. One solution to this problem is to use "marshalling" to encode the R object into an exportable representation that then can be used to re-create a copy of that object in another R process. This package provides a framework for marshalling and unmarshalling R objects such that they can be transferred using functions such as serialize() and unserialize() of base R.

Maintained by Henrik Bengtsson. Last updated 1 years ago.

marshalling parallel serialization

2.0 match 14 stars 3.10 score 18 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 18 days ago.

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

0.8 match 58 stars 7.69 score 8 scripts

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 6 months ago.

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

0.5 match 206 stars 11.11 score 1.3k scripts 3 dependents

ropensci

chopin:Computation of Spatial Data by Hierarchical and Objective Partitioning of Inputs for Parallel Processing

Geospatial data computation is parallelized by grid, hierarchy, or raster files. Based on future and mirai parallel backends, terra and sf functions as well as convenience functions in the package can be distributed over multiple threads. The simplest way of parallelizing generic geospatial computation is to start from `par_pad_*` functions to `par_grid`, `par_hierarchy`, or `par_multirasters` functions. Virtually any functions accepting classes in terra or sf packages can be used in the three parallelization functions. A common raster-vector overlay operation is provided as a function `extract_at`, which uses exactextractr, with options for kernel weights for summarizing raster values at vector geometries. Other convenience functions for vector-vector operations including simple areal interpolation (`summarize_aw`) and summation of exponentially decaying weights (`summarize_sedc`) are also provided.

Maintained by Insang Song. Last updated 14 days ago.

0.8 match 16 stars 6.11 score 23 scripts

fgashakamba

hypsoLoop:A Tool Used to Conduct Hypsometric Analysis of a Watershed

Functions for generating tables required for drawing and calculating hypsometric curves and hypsometric integrals. These functions accept as input the DEM of the region of interest (your watershed) and a spatial data frame file specifying delineation of sub-catchments within the watershed. They then generate output in the form of PNG images and HTML files contained in a folder named "HYPSO_OUTPUT" created in the current directory. S. K. Sharma, S. Gajbhiye, et al. (2018) <doi:10.1007/978-981-10-5801-1_19>. Omvir Singh, A. Sarangi, and Milap C. Sharma (2006) <doi:10.1007/s11269-008-9242-z>. James A. Vanderwaal and Herbert Ssegane (2013) <doi:10.1111/jawr.12089>.

Maintained by Faustin GASHAKAMBA. Last updated 3 years ago.

1.7 match 1 stars 2.70 score 2 scripts

predictiveecology

quickPlot:A System of Plotting Optimized for Speed and Modularity

A high-level plotting system, compatible with `ggplot2` objects, maps from `sf`, `terra`, `raster`, `sp`. It is built primarily on the 'grid' package. The objective of the package is to provide a plotting system that is built for speed and modularity. This is useful for quick visualizations when testing code and for plotting multiple figures to the same device from independent sources that may be independent of one another (i.e., different function or modules the create the visualizations). The suggested package 'fastshp' can be installed from the repository (<https://PredictiveEcology.r-universe.dev>).

Maintained by Eliot J B McIntire. Last updated 4 months ago.

plotting visualization

0.5 match 6 stars 7.92 score 121 scripts 12 dependents

dsjohnson

walk:Model Animal Movement With Continuous-Time Markov Chains

Model animal movement using continuous-time Markov chain models.

Maintained by Devin S. Johnson. Last updated 11 months ago.

openblas cpp

1.7 match 2.30 score 1 scripts

boettiger-lab

earthdatalogin:NASA 'EarthData' Access Utilities

Providing easy, portable access to NASA 'EarthData' products through the use of bearer tokens. Much of NASA's public data catalogs hosted and maintained by its 12 Distributed Active Archive Centers ('DAACs') are now made available on the Amazon Web Services 'S3' storage. However, accessing this data through the standard 'S3' API is restricted to only to compute resources running inside 'us-west-2' Data Center in Portland, Oregon, which allows NASA to avoid being charged data egress rates. This package provides public access to the data from any networked device by using the 'EarthData' login application programming interface (API), <https://www.earthdata.nasa.gov/eosdis/science-system-description/eosdis-components/earthdata-login>, providing convenient authentication and access to cloud-hosted NASA 'EarthData' products. This makes access to a wide range of earth observation data from any location straight forward and compatible with R packages that are widely used with cloud native earth observation data (such as 'terra', 'sf', etc.)

Maintained by Carl Boettiger. Last updated 28 days ago.

0.5 match 25 stars 7.37 score 42 scripts

mlr-org

mlr3spatial:Support for Spatial Objects Within the 'mlr3' Ecosystem

Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.

Maintained by Marc Becker. Last updated 1 years ago.

mlr3 raster-prediction spatial spatial-modelling

0.5 match 43 stars 6.94 score 66 scripts

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 months ago.

0.5 match 49 stars 7.20 score 38 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.

0.5 match 37 stars 7.09 score 252 scripts 6 dependents

riatelab

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.

map rspatial

0.5 match 36 stars 6.03 score 3 scripts 4 dependents

stevenpawley

Rsagacmd:Linking R with the Open-Source 'SAGA-GIS' Software

Provides an R scripting interface to the open-source 'SAGA-GIS' (System for Automated Geoscientific Analyses Geographical Information System) software. 'Rsagacmd' dynamically generates R functions for every 'SAGA-GIS' geoprocessing tool based on the user's currently installed 'SAGA-GIS' version. These functions are contained within an S3 object and are accessed as a named list of libraries and tools. This structure facilitates an easier scripting experience by organizing the large number of 'SAGA-GIS' geoprocessing tools (>700) by their respective library. Interactive scripting can fully take advantage of code autocompletion tools (e.g. in 'RStudio'), allowing for each tools syntax to be quickly recognized. Furthermore, the most common types of spatial data (via the 'terra', 'sp', and 'sf' packages) along with non-spatial data are automatically passed from R to the 'SAGA-GIS' command line tool for geoprocessing operations, and the results are loaded as the appropriate R object. Outputs from individual 'SAGA-GIS' tools can also be chained using pipes from the 'magrittr' and 'dplyr' packages to combine complex geoprocessing operations together in a single statement. 'SAGA-GIS' is available under a GPLv2 / LGPLv2 licence from <https://sourceforge.net/projects/saga-gis/> including Windows x86/x64 and macOS binaries. SAGA-GIS is also included in Debian/Ubuntu default software repositories. Rsagacmd has currently been tested on 'SAGA-GIS' versions from 2.3.1 to 9.5.1 on Windows, Linux and macOS.

Maintained by Steven Pawley. Last updated 6 months ago.

0.5 match 32 stars 6.27 score 77 scripts

brownag

gpkg:Utilities for the Open Geospatial Consortium 'GeoPackage' Format

Build Open Geospatial Consortium 'GeoPackage' files (<https://www.geopackage.org/>). 'GDAL' utilities for reading and writing spatial data are provided by the 'terra' package. Additional 'GeoPackage' and 'SQLite' features for attributes and tabular data are implemented with the 'RSQLite' package.

Maintained by Andrew Brown. Last updated 6 days ago.

dbi geopackage geospatial gis raster spatial sqlite vector

0.5 match 21 stars 5.72 score

courtiol

IsoriX:Isoscape Computation and Inference of Spatial Origins using Mixed Models

Building isoscapes using mixed models and inferring the geographic origin of samples based on their isotopic ratios. This package is essentially a simplified interface to several other packages which implements a new statistical framework based on mixed models. It uses 'spaMM' for fitting and predicting isoscapes, and assigning an organism's origin depending on its isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for plotting the maps produced with 'terra' using 'lattice'.

Maintained by Alexandre Courtiol. Last updated 6 months ago.

0.5 match 14 stars 5.59 score 56 scripts

atsyplenkov

centerline:Extract Centerline from Closed Polygons

Generates skeletons of closed 2D polygons using Voronoi diagrams. It provides methods for 'sf', 'terra', and 'geos' objects to compute polygon centerlines based on the generated skeletons. Voronoi, G. (1908) <doi:10.1515/crll.1908.134.198>.

Maintained by Anatoly Tsyplenkov. Last updated 2 months ago.

0.5 match 36 stars 5.30 score 6 scripts

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-hazards rspatial tropical-cyclone cpp

0.5 match 4 stars 5.00 score

bioc

BiocHail:basilisk and hail

Use hail via basilisk when appropriate, or via reticulate. This package can be used in terra.bio to interact with UK Biobank resources processed by hail.is.

Maintained by Vincent Carey. Last updated 4 months ago.

infrastructure bioconductor genetics hail

0.5 match 6 stars 4.53 score 19 scripts

hypertidy

whatarelief:Get topography elevation and online imagery data

Obtain elevation data, topography relief for any region on the Earth. Topography and bathymetry data is supported by default. Sensible defaults exist for usage, with a matrix of entire planet topography(and bathymetry) returned. The geographic extent can be modified (from whole-planet) to a simple region in longitude/latitude by 'xmin,xmax,ymin,ymax' range, or by specifying a grid exactly with extent, dimension, projection in generic or spatial formats ('terra' or 'raster'). Online sources for data are used, 'GEBCO' General Bathymetric Chart of the Oceans (GEBCO) as a background (to ~500m resolution), and Copernicus GLO-30 Digital Elevation Model for higher resolution (to ~30m resolution). Custom source/s of topography may be input to override defaults, links to file/s or URLs as required.

Maintained by Michael D. Sumner. Last updated 1 years ago.

cloud online raster spatial

0.5 match 50 stars 4.51 score 13 scripts

predictiveecology

map:Defines a meta class of geographical objects, the 'map' class, and associated tools

The 'map' class is a collection of geospatial objects (e.g., from the 'sp', 'raster', 'sf', and 'terra' packages), with a number of metadata additions to enable powerful methods, e.g., for leaflet, reproducible GIS etc.

Maintained by Alex M Chubaty. Last updated 1 months ago.

0.5 match 2 stars 4.33 score 178 scripts 1 dependents

uribo

fgdr:Utilities for Fundamental Geo-Spatial Data

Read and Parse for Fundamental Geo-Spatial Data (FGD) which downloads XML file from providing site (<https://fgd.gsi.go.jp/download/menu.php>). The JPGIS format file provided by FGD so that it can be handled as an R spatial object such as 'sf' and 'raster', 'terra' or 'stars'. Supports the FGD version 4.1, and accepts fundamental items and digital elevation models.

Maintained by Shinya Uryu. Last updated 1 years ago.

0.5 match 11 stars 4.04 score 8 scripts

hvillalo

satin:Visualisation and Analysis of Ocean Data Derived from Satellites

With 'satin' functions, visualisation, data extraction and further analysis like producing climatologies from several images, and anomalies of satellite derived ocean data can be easily done. Reading functions can import a user defined geographical extent of data stored in netCDF files. Currently supported ocean data sources include NASA's Oceancolor web page <https://oceancolor.gsfc.nasa.gov/>, sensors VIIRS-SNPP; MODIS-Terra; MODIS-Aqua; and SeaWiFS. Available variables from this source includes chlorophyll concentration, sea surface temperature (SST), and several others. Data sources specific for SST that can be imported too includes Pathfinder AVHRR <https://www.ncei.noaa.gov/products/avhrr-pathfinder-sst> and GHRSST <https://www.ghrsst.org/>. In addition, ocean productivity data produced by Oregon State University <http://sites.science.oregonstate.edu/ocean.productivity/> can also be handled previous conversion from HDF4 to HDF5 format. Many other ocean variables can be processed by importing netCDF data files from two European Union's Copernicus Marine Service databases <https://marine.copernicus.eu/>, namely Global Ocean Physical Reanalysis and Global Ocean Biogeochemistry Hindcast.

Maintained by Héctor Villalobos. Last updated 10 months ago.

avhrr copernicus ghrsst modis

0.5 match 4 stars 3.30 score 9 scripts

tmieno2

r.spatial.workshop.datasets:Collection of spatial datasets

This packages provides spatial datasets in various format. They are used for demonstrating spatial operations and map creation using R spatial pacakges (e.g., sf, terra, tmap).

Maintained by Taro Mieno. Last updated 6 months ago.

0.5 match 2.96 score 23 scripts

cran

aspace:Functions for Estimating Centrographic Statistics

A collection of functions for computing centrographic statistics (e.g., standard distance, standard deviation ellipse, standard deviation box) for observations taken at point locations. Separate plotting functions have been developed for each measure. Users interested in writing results to ESRI shapefiles can do so by using results from 'aspace' functions as inputs to the convert.to.shapefile() and write.shapefile() functions in the 'shapefiles' library. We intend to provide 'terra' integration for geographic data in a future release. The 'aspace' package was originally conceived to aid in the analysis of spatial patterns of travel behaviour (see Buliung and Remmel 2008 <doi:10.1007/s10109-008-0063-7>).

Maintained by Tarmo K. Remmel. Last updated 11 months ago.

0.5 match 1 stars 1.93 score 83 scripts

prishabh

mod09nrt:Extraction of Bands from MODIS Surface Reflectance Product MOD09 NRT

Package for processing downloaded MODIS Surface reflectance Product HDF files. Specifically, MOD09 surface reflectance product files, and the associated MOD03 geolocation files (for MODIS-TERRA). The package will be most effective if the user installs MRTSwath (MODIS Reprojection Tool for swath products; <https://lpdaac.usgs.gov/tools/modis_reprojection_tool_swath>, and adds the directory with the MRTSwath executable to the default R PATH by editing ~/.Rprofile.

Maintained by Rishabh Gupta. Last updated 9 years ago.

0.5 match 1.00 score 6 scripts

prishabh

proccalibrad:Extraction of Bands from MODIS Calibrated Radiances MOD02 NRT

Package for processing downloaded MODIS Calibrated radiances Product HDF files. Specifically, MOD02 calibrated radiance product files, and the associated MOD03 geolocation files (for MODIS-TERRA). The package will be most effective if the user installs MRTSwath (MODIS Reprojection Tool for swath products; <https://lpdaac.usgs.gov/tools/modis_reprojection_tool_swath>, and adds the directory with the MRTSwath executable to the default R PATH by editing ~/.Rprofile.

Maintained by Rishabh Gupta. Last updated 9 years ago.

0.5 match 1.00 score 6 scripts