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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 3.5 MB | linux-ppc64le/r-terra-1.7_28-r41h7c190e0_0.conda  1 year and 10 months ago 225 main
conda 3.4 MB | osx-64/r-terra-1.7_28-r42h338d5f1_0.conda  1 year and 10 months ago 448 main
conda 3.4 MB | osx-64/r-terra-1.7_28-r41h338d5f1_0.conda  1 year and 10 months ago 423 main
conda 3.5 MB | linux-aarch64/r-terra-1.7_28-r41ha31603a_0.conda  1 year and 10 months ago 213 main
conda 3.5 MB | linux-ppc64le/r-terra-1.7_28-r42h7c190e0_0.conda  1 year and 10 months ago 216 main
conda 3.4 MB | linux-aarch64/r-terra-1.7_28-r42ha31603a_0.conda  1 year and 10 months ago 209 main
conda 3.5 MB | linux-64/r-terra-1.7_28-r41hed29ff2_0.conda  1 year and 10 months ago 1730 main
conda 3.5 MB | linux-64/r-terra-1.7_28-r42hed29ff2_0.conda  1 year and 10 months ago 1757 main

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