Summary
Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. 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 <<a href="https://rspatial.org/" target="_top">https://rspatial.org/</a>> to get started.
Outcomes reported
Referenced by Nature Communications British biodiversity scenarios as citation 116; likely supports topic area: biodiversity / conservation. Topics: biodiversity / conservation Evidence type: Research article / other Source report: Nature Communications British biodiversity scenarios Ref#: Nature Communications British biodiversity scenarios #116 Original: Hijmans, R. J. terra: Spatial Data Analysis (Version 1.8-5) https:// cran.r-project.org/web/packages/terra/index.html (2024).
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