Rsagacmd
GIS processor
Provides an R interface to the SAGA-GIS GIS software for geoprocessing operations
A package for linking R with the open-source SAGA-GIS
31 stars
7 watching
3 forks
Language: R
last commit: 3 months ago
Linked from 1 awesome list
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
 rspatial/terra | An R package for spatial data analysis and processing of raster data. | 543 |
 rapidsai/cuspatial | A GPU-accelerated geospatial data analysis platform | 616 |
 mogasw/rasterix | A utility for processing and analyzing geospatial raster data with graphical user interface capabilities | 29 |
 usdaforestservice/gdalraster | Provides an interface to the GDAL library for geospatial data manipulation and analysis in R. | 41 |
 meggart/gdalfuns.jl | A Julia library that provides an interface to the GDAL geospatial data processing library | 0 |
 16eagle/getspatialdata | An R package for querying, preprocessing and downloading various spatial datasets from public APIs. | 304 |
 geocompx/geocompr | Provides an open-source platform for teaching and exploring geospatial data analysis with R | 1,581 |
 osgeo/grass | A software platform for geospatial data management and analysis | 853 |
 hishamkaram/gismanager | A tool for publishing GIS data to PostGIS and Geoserver | 54 |
 rafaqz/rasters.jl | A Julia package providing common types and methods for reading, writing, and manipulating rasterized spatial data. | 214 |
 openwisp/django-rest-framework-gis | Provides geographic data processing tools for Django REST Framework applications. | 1,084 |
 joshobrien/rasterdt | Provides fast alternatives to raster package functions in R for efficient data processing and analysis of geospatial data. | 27 |
 dwins/geoscript.scala | A Scala library for reading, writing, manipulating, and rendering geospatial data. | 47 |
 geopandas/dask-geopandas | A project combining GeoPandas and Dask to scale geospatial data processing | 505 |
 nasa/nasaaccess | Generates gridded ascii tables of climate and weather data needed to drive hydrological models | 82 |