rasterizeReduced: Convert reduced representation to full raster

Description

Convert reduced representation to full raster

Usage

rasterizeReduced(
  reduced,
  fullRaster,
  newRasterCols,
  mapcode = names(fullRaster),
  ...
)

Value

A RasterLayer or list of RasterLayer of with same dimensions as fullRaster representing newRasterCols spatially, according to the join between the mapcode

contained within reduced and fullRaster

Arguments

reduced: data.frame or data.table that has at least one column of codes that are represented in the fullRaster.
fullRaster: RasterLayer of codes used in reduced that represents a spatial representation of the data.
newRasterCols: Character vector, length 1 or more, with the name(s) of the column(s) in reduced whose value will be returned as a Raster or list of Rasters.
mapcode: a character, length 1, with the name of the column in reduced that is represented in fullRaster.
...: Other arguments. None used yet.

Author

Eliot McIntire

Examples

Run this code

library(data.table)
library(raster)
library(quickPlot)

ras <- raster(extent(0, 15, 0, 15), res = 1)
fullRas <- randomPolygons(ras, numTypes = 2)
names(fullRas) <- "mapcodeAll"
uniqueComms <- unique(fullRas)
reducedDT <- data.table(mapcodeAll = uniqueComms,
                        communities = sample(1:1000, length(uniqueComms)),
                        biomass = rnbinom(length(uniqueComms), mu = 4000, 0.4))
biomass <- rasterizeReduced(reducedDT, fullRas, "biomass")

# The default key is the layer name of the fullRas, so rekey incase of miskey
setkey(reducedDT, biomass)

communities <- rasterizeReduced(reducedDT, fullRas, "communities")
setColors(communities) <- c("blue", "orange", "red")
if (interactive()) {
  clearPlot()
  Plot(biomass, communities, fullRas)
}