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: 0.43
Depends: R (≥ 2.14.0), methods, raster (≥ 2.0-12), lattice, latticeExtra
Imports: stats, utils, parallel, grid, grDevices, RColorBrewer, hexbin, sp (≥ 1.0-6), zoo, viridisLite
Suggests: rgl, ggplot2, colorspace, dichromat
Published: 2018-01-10
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


Reference manual: rasterVis.pdf
Package source: rasterVis_0.43.tar.gz
Windows binaries: r-devel: rasterVis_0.43.zip, r-release: rasterVis_0.43.zip, r-oldrel: rasterVis_0.43.zip
OS X El Capitan binaries: r-release: rasterVis_0.43.tgz
OS X Mavericks binaries: r-oldrel: rasterVis_0.41.tgz
Old sources: rasterVis archive

Reverse dependencies:

Reverse depends: RSIP
Reverse imports: biomod2, cati, gfcanalysis, IsoriX, lulcc, moveVis, mptools, NLMR, sampSurf
Reverse suggests: bossMaps, geoknife, LSRS, MetaLandSim, meteoForecast, prioritizrdata, raster, smapr, solaR, viridis, zonator


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