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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 4.4 MB | linux-64/r-terra-1.8_5-r43h884c59f_0.tar.bz2  7 months and 19 days ago 61 main
conda 4.1 MB | linux-64/r-terra-1.7_46-r43h884c59f_0.tar.bz2  1 year and 7 months ago 41 main
conda 4.1 MB | linux-64/r-terra-1.7_55-r43h884c59f_0.tar.bz2  1 year and 7 months ago 119 main
conda 3.1 MB | linux-64/r-terra-1.5_21-r42h884c59f_2.tar.bz2  1 year and 11 months ago 216 main
conda 3.1 MB | linux-64/r-terra-1.5_21-r42h884c59f_1.tar.bz2  3 years and 1 month ago 214 main
conda 3.1 MB | linux-64/r-terra-1.5_21-r42h884c59f_0.tar.bz2  3 years and 1 month ago 1124 main

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