rasterCdf: Cumulative Distribution Function for Rasters
In jngtz/runout.opt: GPP regional runout model optimization and validation in R
Description
Usage
Arguments
Value
Examples
View source: R/raster_rescale.R
Description
Compute an empirical cumulative distribution function for a raster.
Usage
1
rasterCdf(x)
Arguments
x
A RasterLayer object
Value
RasterLayer
Examples
1
2
3
r <- raster::raster(system.file("extdata/elev_12_5m.tif", package="runout.opt"))
r_ecdf <- rasterCdf(r)
raster::plot(r_ecdf)
jngtz/runout.opt documentation built on Sept. 8, 2021, 2:15 p.m.
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Description Usage Arguments Value Examples
View source: R/raster_rescale.R
Description
Compute an empirical cumulative distribution function for a raster.
Usage
1 | rasterCdf(x)
|
Arguments
x |
A RasterLayer object |
Value
RasterLayer
Examples
1 2 3 | r <- raster::raster(system.file("extdata/elev_12_5m.tif", package="runout.opt"))
r_ecdf <- rasterCdf(r)
raster::plot(r_ecdf)
|
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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