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Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. 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/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is simpler to use, and it is faster.

copied from cf-staging / r-terra
Type Size Name Uploaded Downloads Labels
conda 3.9 MB | osx-64/r-terra-1.8_10-r44h6ed9477_0.conda  1 month and 27 days ago 263 main
conda 3.7 MB | osx-arm64/r-terra-1.8_10-r44h44b7efe_0.conda  1 month and 27 days ago 294 main
conda 3.9 MB | osx-64/r-terra-1.8_10-r43h6ed9477_0.conda  1 month and 27 days ago 230 main
conda 4.0 MB | linux-64/r-terra-1.8_10-r44h4d3cc04_0.conda  1 month and 27 days ago 461 main
conda 3.7 MB | osx-arm64/r-terra-1.8_10-r43h44b7efe_0.conda  1 month and 27 days ago 271 main
conda 3.9 MB | linux-aarch64/r-terra-1.8_10-r43h4f62183_0.conda  1 month and 27 days ago 146 main
conda 3.9 MB | linux-aarch64/r-terra-1.8_10-r44h4f62183_0.conda  1 month and 27 days ago 124 main
conda 4.0 MB | linux-64/r-terra-1.8_10-r43h4d3cc04_0.conda  1 month and 27 days ago 404 main

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