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.


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The raster package defines classes and methods for spatial raster data access and manipulation. The rasterVis package complements raster providing a set of methods for enhanced visualization and interaction.

There is a collection of examples in the webpage and a FAQ section.

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Reference manual

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install.packages("rasterVis")

0.43 by Oscar Perpinan Lamigueiro, a month ago


http://oscarperpinan.github.io/rastervis


Report a bug at https://github.com/oscarperpinan/rastervis/issues


Browse source code at https://github.com/cran/rasterVis


Authors: Oscar Perpinan Lamigueiro [cre, aut] (0000-0002-4134-7196), Robert Hijmans [aut]


Documentation:   PDF Manual  


Task views: Analysis of Spatial Data, Handling and Analyzing Spatio-Temporal Data


GPL-3 license


Imports stats, utils, parallel, grid, grDevices, RColorBrewer, hexbin, sp, zoo, viridisLite

Depends on methods, raster, lattice, latticeExtra

Suggests rgl, ggplot2, colorspace, dichromat


Imported by IsoriX, NLMR, biomod2, cati, gfcanalysis, lulcc, moveVis, mptools, sampSurf.

Depended on by RSIP.

Suggested by LSRS, MetaLandSim, bossMaps, geoknife, meteoForecast, prioritizrdata, raster, smapr, solaR, viridis, zonator.


See at CRAN