18a7aaea92
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. WWW: https://cran.r-project.org/web/packages/terra/
12 lines
654 B
Text
12 lines
654 B
Text
Methods for spatial data analysis with raster and vector data.
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Raster methods allow for low-level data manipulation as well as
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high-level global, local, zonal, and focal computation. The predict
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and interpolate methods facilitate the use of regression type
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(interpolation, machine learning) models for spatial prediction,
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including with satellite remote sensing data. Processing of very
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large files is supported. See the manual and tutorials on
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<https://rspatial.org/terra/> to get started. 'terra' is very similar
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to the 'raster' package; but 'terra' can do more, is easier to use,
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and it is faster.
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WWW: https://cran.r-project.org/web/packages/terra/
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