extractByMask: Extract raster values by mask
In dariomasante/bnspatial: Spatial Implementation of Bayesian Networks and Mapping

Description Usage Arguments Details Value See Also Examples

View source: R/extractByMask.R

This function extracts the values from a given input raster based on a mask.

1	extractByMask(layer, msk, spatial = FALSE, rast = NULL)

`layer`	an object of class "RasterLayer" (package raster). The raster from which data will be extracted
`msk`	an object of class "RasterLayer" or a two column matrix of coordinates. The reference raster (or coordinates) to be used as mask for extraction.
`spatial`	logical. Should the output be spatially explicit -i.e. a georeferenced raster? Default is FALSE, returning a vector of extracted values from `rast`. If TRUE an object of class "RasterLayer" is returned.
`rast`	deprecated, use `layer` instead.

When input data given to rast does not match the resolution and extent of a raster mask argument, the latter is preferred. The function will therefore return a vector of n elements, one for each non NA cell in the mask. Input raster cells falling inside mask cells, but not over their cells centre will be ignored.

a vector, or an object of class "RasterLayer". The values from the input raster (rast argument) at coordinates provided as matrix, or those overlapping with non NA cells in the mask raster. If spatial == TRUE an object of class "RasterLayer" is returned.

aoi

data(ConwyData)
list2env(ConwyData, environment())

m <- aoi(msk=ConwyLU, mskSub=c(2,3))
head( extractByMask(ConwySlope, msk=m), 20) 

# Extract making a raster
library(raster)
plot( extractByMask(ConwySlope, msk=m, spatial=TRUE) )