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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 3.8 MB | osx-64/r-terra-1.8_5-r43h6ed9477_0.conda  3 months and 14 hours ago 251 main
conda 3.6 MB | osx-arm64/r-terra-1.8_5-r44h44b7efe_0.conda  3 months and 14 hours ago 271 main
conda 3.8 MB | osx-64/r-terra-1.8_5-r44h6ed9477_0.conda  3 months and 14 hours ago 276 main
conda 3.6 MB | osx-arm64/r-terra-1.8_5-r43h44b7efe_0.conda  3 months and 14 hours ago 266 main
conda 3.8 MB | linux-aarch64/r-terra-1.8_5-r43h4f62183_0.conda  3 months and 14 hours ago 174 main
conda 3.9 MB | linux-aarch64/r-terra-1.8_5-r44h4f62183_0.conda  3 months and 14 hours ago 180 main
conda 3.9 MB | linux-64/r-terra-1.8_5-r43h4d3cc04_0.conda  3 months and 14 hours ago 879 main
conda 3.9 MB | linux-64/r-terra-1.8_5-r44h4d3cc04_0.conda  3 months and 14 hours ago 1059 main

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