FCMask: Forest-Change Mask

In forestChange: Computing Essential Biodiversity Variables from Global Forest Change Data

Description

This function can format GFC into forest-distribution regions of interest over time.

Usage

FCMask(pol = NULL, year = 1:2, cummask = TRUE, deforest = FALSE, 
    perc = 80:100, mc.cores = detectCores(), ...)

Arguments

pol	RasterStack; SpatialPolygonsDataFrame; Extent; character, or NULL. Spatial object such as any of these produced by getGADM or by FCPolygon. If NULL then a list of unit names is printed, see getGADM.
year	numeric. Years between 0 and 18 (or between 2000 and 2018).
cummask	logical. Compute cumulative masks instead of discrete masks. Default TRUE.
deforest	logical. Process non-forest areas instead of forest areas. Default FALSE.
perc	numeric. Percentage of canopy closure. Default 80:100. This argument is ignored if deforest = TRUE.
mc.cores	numeric. The number of cores, see mclapply.
...	Additional arguments in FCPolygon.

Value

RasterBrick of forest/non-forest masks over time. or character vector with GADM.

Author(s)

Wilson Lara <[e-mail]>, Victor Gutierrez-Velez <[e-mail]>

Examples

## A mask of GFC layers in the municipality of 'Uribia' is computed:
 
 UribiaMask <- FCMask('Uribia')
 plot(UribiaMask)
 

forestChange documentation built on March 26, 2020, 7:26 p.m.