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r-terra

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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.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-terra

Usage Tracking

1.8_86
1.8_80
1.8_70
1.8_60
1.8_54
1.3_22
6 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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.

Last Updated

Aug 20, 2021 at 11:40

License

GPL-3.0-or-later

Total Downloads

563.5K

Supported Platforms

linux-64
macOS-64
win-64

Unsupported Platforms

linux-ppc64le Last supported version: 1.7_3
linux-aarch64 Last supported version: 1.5_17
macOS-arm64 Last supported version: 1.8_5