rasterEntropy: Multi-layer Pixel Entropy
In RStoolbox: Tools for Remote Sensing Data Analysis
View source: R/rasterEntropy.R
rasterEntropy R Documentation
Multi-layer Pixel Entropy
Description
Shannon entropy is calculated for each pixel based on it's layer values.
To be used with categorical / integer valued rasters.
Usage
rasterEntropy(img, ...)
Arguments
img
RasterStack or RasterBrick
...
additional arguments passed to writeRaster
Details
Entropy is calculated as -sum(p log(p)); p being the class frequency per pixel.
Value
RasterLayer "entropy"
Examples
data(rlogo)
re <- rasterEntropy(rlogo)
ggR(re, geom_raster = TRUE)
RStoolbox documentation built on March 18, 2022, 5:37 p.m.
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View source: R/rasterEntropy.R
| rasterEntropy | R Documentation |
Multi-layer Pixel Entropy
Description
Shannon entropy is calculated for each pixel based on it's layer values. To be used with categorical / integer valued rasters.
Usage
rasterEntropy(img, ...)
Arguments
img |
RasterStack or RasterBrick |
... |
additional arguments passed to writeRaster |
Details
Entropy is calculated as -sum(p log(p)); p being the class frequency per pixel.
Value
RasterLayer "entropy"
Examples
data(rlogo) re <- rasterEntropy(rlogo) ggR(re, geom_raster = TRUE)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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