clues: CLUE-S

In simonmoulds/lulcc2: Land Use Change Modelling in R

Description

Allocate land use change using the CLUE-S algorithm.

Usage

clues(lu0, lu0.vals, tprob, nb = NULL, nb.rules = NULL,
  transition.rules = NULL, hist.vals = NULL, mask.vals = NULL,
  demand, categories, elasticity, iteration.factor, max.iteration,
  max.difference, ave.difference, ...)

Arguments

lu0	RasterLayer showing initial land use
lu0.vals	numeric containing non-NA values from lu0
tprob	matrix with land use suitability values. Columns should correspond to categories, rows should correspond with cells
nb	neighbourhood map. See CluesModel
nb.rules	neighbourhood rules. See CluesModel documentation
transition.rules	transition rules. See CluesModel documentation
hist.vals	numeric vector detailing the number of consecutive time steps each cell has been allocated to its current land use
mask.vals	numeric vector containing binary values where 0 indicates cells that are not allowed to change
demand	matrix with demand for each land use category in terms of number of cells to be allocated. The first row should be the number of cells allocated to the initial land use map, the second row should be the number of cells to allocate in the subsequent time point
categories	numeric vector containing land use categories
elasticity	elasticity values. See CluesModel documentation
iteration.factor	iteration factor. See CluesModel documentation
max.iteration	The maximum number of iterations allowed at each time step
max.difference	The maximum allowable difference between demand and allocated area
ave.difference	The maximum allowable average difference across all land uses
...	additional arguments (none)

Value

numeric vector with updated land use values.

Examples

## See lulcc2-package examples

simonmoulds/lulcc2 documentation built on Dec. 23, 2021, 2:24 a.m.