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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 3.3 MB | osx-64/r-terra-1.7_3-r42h31914bc_0.conda  2 years and 27 days ago 468 main
conda 3.3 MB | linux-ppc64le/r-terra-1.7_3-r42h3503bfa_0.conda  2 years and 27 days ago 256 main
conda 3.3 MB | linux-ppc64le/r-terra-1.7_3-r41h3503bfa_0.conda  2 years and 27 days ago 246 main
conda 3.2 MB | osx-64/r-terra-1.7_3-r41h31914bc_0.conda  2 years and 27 days ago 467 main
conda 3.3 MB | linux-aarch64/r-terra-1.7_3-r42h1921e02_0.conda  2 years and 27 days ago 237 main
conda 3.3 MB | linux-aarch64/r-terra-1.7_3-r41h1921e02_0.conda  2 years and 27 days ago 225 main
conda 3.3 MB | linux-64/r-terra-1.7_3-r42h0f53b7d_0.conda  2 years and 27 days ago 2254 main
conda 3.3 MB | linux-64/r-terra-1.7_3-r41h0f53b7d_0.conda  2 years and 27 days ago 1894 main

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