rasterVis: Visualization Methods for Raster Data

Methods for enhanced visualization and interaction with raster data. It implements visualization methods for quantitative data and categorical data, both for univariate and multivariate rasters. It also provides methods to display spatiotemporal rasters, and vector fields. See the website for examples.

Version: 0.51.6
Depends: R (≥ 4.0.0), methods, lattice (≥ 0.22-5)
Imports: raster (≥ 3.4-13), terra (≥ 1.7-17), latticeExtra, stats, utils, parallel, grid, grDevices, RColorBrewer, hexbin, sp (≥ 1.0-6), zoo, viridisLite
Suggests: rgl, ggplot2, colorspace, dichromat, sf
Published: 2023-11-01
Author: Oscar Perpinan Lamigueiro ORCID iD [cre, aut], Robert Hijmans [aut], Alexandre Courtiol [ctb]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan at upm.es>
BugReports: https://github.com/oscarperpinan/rastervis/issues
License: GPL-3
URL: https://oscarperpinan.github.io/rastervis/
NeedsCompilation: no
Citation: rasterVis citation info
Materials: README
In views: Spatial, SpatioTemporal
CRAN checks: rasterVis results

Documentation:

Reference manual: rasterVis.pdf

Downloads:

Package source: rasterVis_0.51.6.tar.gz
Windows binaries: r-devel: rasterVis_0.51.6.zip, r-release: rasterVis_0.51.6.zip, r-oldrel: rasterVis_0.51.6.zip
macOS binaries: r-release (arm64): rasterVis_0.51.6.tgz, r-oldrel (arm64): rasterVis_0.51.6.tgz, r-release (x86_64): rasterVis_0.51.6.tgz
Old sources: rasterVis archive

Reverse dependencies:

Reverse depends: ecochange
Reverse imports: cati, cmsafvis, eRTG3D, geomod, gfcanalysis, IsoriX, lulcc, steps, stfit, TCHazaRds
Reverse suggests: belg, ENMeval, isocat, LSRS, MetaLandSim, meteoForecast, PointedSDMs, raster, rasterdiv, rasterDT, SDMtune, solaR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rasterVis to link to this page.