extractRasterLayer: extractRasterLayer

In ahornero/rsensing: Remote Sensing

Description

extractRasterLayer extracts data from a raster layer with a given polygon shape. It support multicore processing through the parallel package and clustering with a default cellsize of 100 meters.

Usage

extractRasterLayer(raster, shape, multicore = TRUE, gsize = 100,
  showMessages = TRUE, fun = stats2perform, as.shape = FALSE)

Arguments

raster	Raster. Raster to be extracted
shape	Shapefile. Shape which define the polygon to be extracted
multicore	Optional. Logical. If TRUE means multicore processing. By default is TRUE
gsize	Optional. Numeric. Size of each cell in meters. 100 m by default
showMessages	Optional. Logical. If TRUE all processing messages will be shown
fun	Optional. Function. Function to summarize the values (e.g. mean). By default stats2perform is used.
as.shape	Optional. Logical. If as.shape=TRUE, it returns a shape instead of a data.frame. By default is FALSE

Value

a data.frame or a Spatial object.

Examples

## Not run: 
shape.extracted <- extractRasterLayer(raster, shape, as.shape = T)

## End(Not run)

ahornero/rsensing documentation built on May 8, 2019, 1:37 a.m.