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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).
Last updated 1 months ago
geospatialrasterspatialvector
532 stars 12.15 score 1 dependencies 771 dependentsraster - 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 This package has been superseded by the "terra" package 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>.
Last updated 2 months ago
161 stars 11.13 score 4 dependencies 522 dependentsgeosphere - Spherical Trigonometry
Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.
Last updated 1 years ago
33 stars 8.09 score 3 dependencies 106 dependentsdismo - 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.
Last updated 12 months ago
21 stars 6.80 score 5 dependencies 22 dependentsgeodata - 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.
Last updated 1 months ago
148 stars 5.32 score 2 dependencies 9 dependentspredicts - 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.
Last updated 2 months ago
10 stars 2.53 score 2 dependencies 5 dependentsluna - 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.
Last updated 7 months ago
28 stars 2.38 score 3 dependenciesrspatial - rspatial.org data
Data to support the examples on rspatial.org
Last updated 4 years ago
6 stars 0.71 score 5 dependenciesrspat - rspatial.org data -- terra version
Data to support the examples on rspatial.org
Last updated 2 years ago
2 stars 0.23 score 2 dependencies