./geography/R-terra, Spatial Data Analysis

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Branch: CURRENT, Version: 1.7.39nb11, Package name: R-terra-1.7.39nb11, Maintainer: pkgsrc-users

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
<https://rspatial.org/terra/> to get started. 'terra' replaces the
'raster' package ('terra' can do more, and it is faster and easier to
use).

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   2023-11-08 14:21:43 by Thomas Klausner | Files touched by this commit (2377) 
Log message:
*: recursive bump for icu 74.1
   2023-10-25 00:11:51 by Thomas Klausner | Files touched by this commit (2298) 
Log message:
*: bump for openssl 3
   2023-10-21 19:11:59 by Greg Troxel | Files touched by this commit (1345) | Package updated
Log message:
recursive revbump for tiff update
   2023-08-11 02:53:59 by Makoto Fujiwara | Files touched by this commit (3) 
Log message:
geography/R-terra: import R-terra-1.7.39

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
<https://rspatial.org/terra/> to get started. 'terra' replaces the
'raster' package ('terra' can do more, and it is faster and easier to
use).