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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_23-r41h3503bfa_0.conda  1 year and 11 months ago 223 main
conda 3.4 MB | osx-64/r-terra-1.7_23-r41h31914bc_0.conda  1 year and 11 months ago 469 main
conda 3.4 MB | osx-64/r-terra-1.7_23-r42h31914bc_0.conda  1 year and 11 months ago 445 main
conda 3.4 MB | linux-aarch64/r-terra-1.7_23-r41h1921e02_0.conda  1 year and 11 months ago 201 main
conda 3.5 MB | linux-ppc64le/r-terra-1.7_23-r42h3503bfa_0.conda  1 year and 11 months ago 223 main
conda 3.4 MB | linux-aarch64/r-terra-1.7_23-r42h1921e02_0.conda  1 year and 11 months ago 196 main
conda 3.5 MB | linux-64/r-terra-1.7_23-r41h0f53b7d_0.conda  1 year and 11 months ago 1810 main
conda 3.5 MB | linux-64/r-terra-1.7_23-r42h0f53b7d_0.conda  1 year and 11 months ago 2104 main

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