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.
The rasterVis package complements the raster and
terra packages, providing a set of methods for enhanced
visualization and interaction. This package defines visualization
methods with levelplot for quantitative data and categorical
data, both for univariate and multivariate rasters.
It also includes several methods in the frame of the Exploratory Data
Analysis approach: scatterplots with xyplot, histograms and
density plots with histogram and densityplot, violin and
boxplots with bwplot, and a matrix of scatterplots with
splom.
On the other hand, this package is able to display vector fields using
arrows, vectorplot, or with streamlines, streamplot.
Index of help topics:
bwplot Box and whisker plots of Raster objects.
densityplot Density plots for Raster objects.
gplot Use ggplot to plot a Raster* or a SpatRaster
object.
hexbinplot Formula methods
histogram Histogram of Raster objects.
horizonplot Horizon plots of Raster objects.
hovmoller Hovmoller plots
identifyRaster Interaction with trellis objects.
levelplot Level and contour plots of Raster objects.
plot3D Interactive 3D plot of a RasterLayer
rasterTheme Themes for 'raster' with 'lattice'.
rasterVis-package Visualization Methods for Raster Data
splom Scatter plot matrices of Raster objects.
vectorplot Vector plots of Raster objects.
xyLayer xyLayer
xyplot xyplot for Raster objectsPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.