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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 20.8 MB | win-64/r-terra-1.3_4-r41ha856d6a_0.tar.bz2  3 years and 8 months ago 791 main
conda 20.8 MB | win-64/r-terra-1.3_4-r40ha856d6a_0.tar.bz2  3 years and 8 months ago 881 main
conda 3.6 MB | osx-64/r-terra-1.3_4-r40h2373bc5_0.tar.bz2  3 years and 8 months ago 140 main
conda 3.6 MB | osx-64/r-terra-1.3_4-r41h2373bc5_0.tar.bz2  3 years and 8 months ago 132 main
conda 3.7 MB | linux-64/r-terra-1.3_4-r41h8dbb428_0.tar.bz2  3 years and 8 months ago 2462 main
conda 3.7 MB | linux-64/r-terra-1.3_4-r40h8dbb428_0.tar.bz2  3 years and 8 months ago 2446 main

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