crossTabulate: Cross tabulate land use transitions
In simonmoulds/lulcc2: Land Use Change Modelling in R

Description Usage Arguments Value References See Also Examples

Cross tabulate land use transitions using raster::crosstab. This step should form the basis of further research into the processes driving the most important transitions in the study region (Pontius et al., 2004).

crossTabulate(x, y, ...)

## S4 method for signature 'RasterLayer,RasterLayer'
crossTabulate(x, y, categories,
  labels = as.character(categories), ...)

## S4 method for signature 'DiscreteLulcRasterStack,ANY'
crossTabulate(x, y, times, ...)

`x`	RasterLayer representing land use map from an earlier timestep or an LulcRasterStack object containing at least two land use maps for different points in time
`y`	RasterLayer representing land use map from a later timestep. Not used if `x` is an LulcRasterStack object
`...`	additional arguments to `raster::crosstab`
`categories`	numeric vector containing land use categories to consider. Not used if `x` is an LulcRasterStack object
`labels`	character vector (optional) with labels corresponding to `categories`. Not used if `x` is an LulcRasterStack object
`times`	numeric vector representing the time points of two land use maps from LulcRasterStack

A data.frame.

Pontius Jr, R.G., Shusas, E., McEachern, M. (2004). Detecting important categorical land changes while accounting for persistence. Agriculture, Ecosystems & Environment 101(2):251-268.

LulcRasterStack, raster::crosstab

## Not run: 

## Plum Island Ecosystems 

## load observed land use maps
lu <- DiscreteLulcRasterStack(x=stack(pie[1:3]),
                              categories=c(1,2,3),
                              labels=c("Forest","Built","Other"),
                              t=c(0,6,14))

crossTabulate(x=lu, times=c(0,6))
crossTabulate(x=lu, times=c(0,14))

## RasterLayer input
crossTabulate(x=lu[[1]],
              y=lu[[3]],
              categories=c(1,2,3),
              labels=c("forest","built","other"))


## End(Not run)