Spatial Data Analysis
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
to get started. 'terra' replaces the
'raster' package ('terra' can do more, and it is faster and easier to
use).
Problem reports, updates or suggestions for this package should be
reported with
send-pr.
