fire_exp_summary() creates a summary table of exposure by the
specified classification scheme. The table reports the number of pixels, the
proportion, and area in hectares and meters squared by class.
Landscape classification breaks are:
Low (0-20%)
Moderate (20-40%)
High (40-60%),
Very High (60-80%)
Extreme (80-100%)
Local classification breaks are:
Nil (0%)
Low (>0-15%)
Moderate (15-30%)
High (30-45%)
Extreme (45%+)
Usage
fire_exp_summary(exposure, aoi, classify = c("landscape", "local"))Arguments
- exposure
SpatRaster from
fire_exp()- aoi
(optional) SpatVector of an area of interest to mask exposure for summary
- classify
character, either
"landscape"or"local". default is"landscape".
Examples
#' # read example hazard data ----------------------------------
filepath <- "extdata/hazard.tif"
haz <- terra::rast(system.file(filepath, package = "fireexposuR"))
# generate example AOI polygon -----------------------------
filepath <- "extdata/builtsimpleexamplegeom.csv"
g <- read.csv(system.file(filepath, package = "fireexposuR"))
v <- terra::vect(as.matrix(g), "polygons", crs = haz)
# ----------------------------------------------------------
exp <- fire_exp(haz)
# for full extent of data
fire_exp_summary(exp, classify = "landscape")
#> class npixels prop aream2 areaha
#> 1 Low 320073 0.3265718 3200730000 320073
#> 2 Moderate 118269 0.1206703 1182690000 118269
#> 3 High 121896 0.1243710 1218960000 121896
#> 4 Very High 115884 0.1182369 1158840000 115884
#> 5 Extreme 303978 0.3101500 3039780000 303978
# for a masked area
fire_exp_summary(exp, v, classify = "landscape")
#> class npixels prop aream2 areaha
#> 1 Low 703 0.835909631 7030000 703
#> 2 Moderate 73 0.086801427 730000 73
#> 3 High 62 0.073721760 620000 62
#> 4 Very High 3 0.003567182 30000 3