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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 easier to use, and it is faster.

Type Size Name Uploaded Downloads Labels
conda 4.1 MB | linux-64/r-terra-1.7_46-r43h884c59f_0.tar.bz2  10 months and 12 days ago 19 main
conda 4.1 MB | linux-64/r-terra-1.7_55-r43h884c59f_0.tar.bz2  10 months and 12 days ago 82 main
conda 3.1 MB | linux-64/r-terra-1.5_21-r42h884c59f_2.tar.bz2  1 year and 2 months ago 171 main
conda 3.1 MB | linux-64/r-terra-1.5_21-r42h884c59f_1.tar.bz2  2 years and 4 months ago 186 main
conda 3.1 MB | linux-64/r-terra-1.5_21-r42h884c59f_0.tar.bz2  2 years and 5 months ago 1052 main

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