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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 | osx-64/r-terra-1.7_37-r42hea4ec61_0.conda  1 year and 8 months ago 456 main
conda 3.5 MB | osx-64/r-terra-1.7_37-r43hea4ec61_0.conda  1 year and 8 months ago 455 main
conda 3.5 MB | linux-ppc64le/r-terra-1.7_37-r43h27dbe9d_0.conda  1 year and 8 months ago 214 main
conda 3.5 MB | linux-64/r-terra-1.7_37-r42h1666b9e_0.conda  1 year and 8 months ago 1699 main
conda 3.4 MB | linux-aarch64/r-terra-1.7_37-r43h5bda952_0.conda  1 year and 8 months ago 207 main
conda 3.4 MB | linux-aarch64/r-terra-1.7_37-r42h5bda952_0.conda  1 year and 8 months ago 210 main
conda 3.5 MB | linux-ppc64le/r-terra-1.7_37-r42h27dbe9d_0.conda  1 year and 8 months ago 233 main
conda 3.5 MB | linux-64/r-terra-1.7_37-r43h1666b9e_0.conda  1 year and 8 months ago 1668 main

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