Spatial Data Analysis

Methods for spatial data analysis, especially raster data. 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. Processing of very large files is supported. See the manual and tutorials on < https://rspatial.org/terra/> to get started. The package is similar to the 'raster' package; but 'terra' is simpler and faster.


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install.packages("terra")

0.8-6 by Robert J. Hijmans, 10 days ago


https://rspatial.org/terra


Report a bug at https://github.com/rspatial/terra/issues/


Browse source code at https://github.com/cran/terra


Authors: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Karl Forner [ctb] , Jeroen Ooms [ctb] , Edzer Pebesma [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports methods, Rcpp, raster

Suggests parallel, tinytest

Linking to Rcpp

System requirements: C++11, GDAL (>= 3.0.4), GEOS (>= 3.8.0), PROJ (>= 6.3.1)


See at CRAN