mValues: Cell value distribution

In EhrmannS/rasterTools: Obtain and process earth observation data

Description

Calculate distribution parameters of cell values of a raster

Usage

mValues(obj, param = NULL, layer = NULL, groupBy = NULL)

Arguments

obj	[Raster*(1)] The object to measure.
param	[character(.)] parameter(s) to calculate; possible parameters are "mean", "sum", "number", "sd", "cv", "iqr", "min", "median", "max", "quantile", "weighted.mean" or "all".
layer	[character(1)] in case obj has several layers, specify here the layer for which the area of objects shall be calculated (by default the first layer).
groupBy	[RasterLayer(1)] (another) layer based on the unique values of which to calculate distribution parameters (by default the second layer).

Value

A list with elements resulting from the stratification with the value of each specified parameter per object in groupBby.

See Also

Other generic metrics: mAdjacency, mArea, mNumber, mPerimeter

Examples

con <- rtRasters$continuous
bin <- rBinarise(con, 30)
patches <- rPatches(bin)

# the average and standard deviation of all values
mValues(obj = con, param = c("mean", "sd"))

# destribution parameters per patch ...
mValues(obj = raster::stack(con, patches),
        param = c("weighted.mean", "min", "max"), groupBy = "patches")

# ... or per class
mValues(obj = raster::stack(con, rtRasters$categorical),
        param = c("mean", "sd"), groupBy = "categorical")

EhrmannS/rasterTools documentation built on Sept. 4, 2019, 10:34 a.m.