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: 0.48
Depends: R (≥ 2.14.0), methods, raster (≥ 2.0-12), lattice (≥ 0.20-41), latticeExtra
Imports: stats, utils, parallel, grid, grDevices, RColorBrewer, hexbin, sp (≥ 1.0-6), zoo, viridisLite
Suggests: rgl, ggplot2, colorspace, dichromat, sf
Published: 2020-06-16
Author: Oscar Perpinan Lamigueiro ORCID iD [cre, aut], Robert Hijmans [aut]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan at gmail.com>
BugReports: https://github.com/oscarperpinan/rastervis/issues
License: GPL-3
URL: http://oscarperpinan.github.io/rastervis
NeedsCompilation: no
Citation: rasterVis citation info
Materials: README
In views: Spatial, SpatioTemporal
CRAN checks: rasterVis results

Downloads:

Reference manual: rasterVis.pdf
Package source: rasterVis_0.48.tar.gz
Windows binaries: r-devel: rasterVis_0.48.zip, r-release: rasterVis_0.48.zip, r-oldrel: rasterVis_0.47.zip
macOS binaries: r-release: rasterVis_0.48.tgz, r-oldrel: rasterVis_0.48.tgz
Old sources: rasterVis archive

Reverse dependencies:

Reverse depends: RSIP
Reverse imports: biomod2, cati, eRTG3D, gfcanalysis, IsoriX, lulcc, mptools, sampSurf, sdStaf, steps
Reverse suggests: belg, gdalUtilities, geoknife, isocat, LSRS, MetaLandSim, meteoForecast, raster, rasterdiv, rasterDT, rGEDI, SDMtune, solaR, tangles, viridis, zonator

Linking:

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