r.futures.simulation - GRASS GIS manual

Note: This document is for an older version of GRASS GIS that has been discontinued. You should upgrade, and read the current manual page.

NAME

r.futures.simulation - Wrapper for r.futures.pga to ensure forward compatibility.
Simulates landuse change using FUTure Urban-Regional Environment Simulation (FUTURES).

KEYWORDS

raster, patch growing, urban, landscape, modeling

SYNOPSIS

r.futures.simulation

r.futures.simulation --help

r.futures.simulation [-s] developed=name subregions=name [subregions_potential=name] predictors=name[,name,...] development_pressure=name n_dev_neighbourhood=integer development_pressure_approach=string gamma=float scaling_factor=float output=name [output_series=basename] devpot_params=name demand=name [separator=character] patch_sizes=name num_neighbors=integer discount_factor=float seed_search=string compactness_mean=float compactness_range=float [num_steps=integer] [potential_weight=name] [incentive_power=float] [random_seed=integer] [memory=float] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-s: Generate random seed (result is non-deterministic); Automatically generates random seed for random number generator (use when you don't want to provide the seed option)
--overwrite: Allow output files to overwrite existing files
--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

developed=name [required]: Raster map of developed areas (=1), undeveloped (=0) and excluded (no data)
subregions=name [required]: Raster map of subregions
subregions_potential=name: Raster map of subregions used with potential file; If not specified, the raster specified in subregions parameter is used
predictors=name[,name,...] [required]: Names of predictor variable raster maps; Listed in the same order as in the development potential table
development_pressure=name [required]: Raster map of development pressure
n_dev_neighbourhood=integer [required]: Size of square used to recalculate development pressure
development_pressure_approach=string [required]: Approaches to derive development pressure; Options: occurrence, gravity, kernel; Default: gravity
gamma=float [required]: Influence of distance between neighboring cells
scaling_factor=float [required]: Scaling factor of development pressure
output=name [required]: State of the development at the end of simulation
output_series=basename: Basename for raster maps of development generated after each step; Name for output basename raster map(s)
devpot_params=name [required]: CSV file with development potential parameters for each region; Each line should contain region ID followed by parameters (intercepts, development pressure, other predictors). First line is ignored, so it can be used for header
demand=name [required]: CSV file with number of cells to convert for each step and subregion
separator=character: Field separator; Separator used in input CSV files; Default: comma
patch_sizes=name [required]: File containing list of patch sizes to use
num_neighbors=integer [required]: The number of neighbors to be used for patch generation (4 or 8); Options: 4, 8; Default: 4
discount_factor=float [required]: Discount factor of patch size
seed_search=string [required]: The way location of a seed is determined (1: uniform distribution 2: development probability); Options: random, probability; Default: probability
compactness_mean=float [required]: Mean value of patch compactness to control patch shapes
compactness_range=float [required]: Range of patch compactness to control patch shapes
num_steps=integer: Number of steps to be simulated
potential_weight=name: Raster map of weights altering development potential; Values need to be between -1 and 1, where negative locally reducesprobability and positive increases probability.
incentive_power=float: Exponent to transform probability values p to p^x to simulate infill vs. sprawl; Values > 1 encourage infill, < 1 urban sprawl; Options: 0-10; Default: 1
random_seed=integer: Seed for random number generator; The same seed can be used to obtain same results or random seed can be generated by other means.
memory=float: Memory in GB

DESCRIPTION
SEE ALSO
REFERENCES
AUTHOR

DESCRIPTION

Module r.futures.pga will be renamed to r.futures.simulation. This module is only a wrapper for r.futures.pga for forward compatibility.

REFERENCES

Meentemeyer, R. K., Tang, W., Dorning, M. A., Vogler, J. B., Cunniffe, N. J., & Shoemaker, D. A. (2013). FUTURES: Multilevel Simulations of Emerging Urban-Rural Landscape Structure Using a Stochastic Patch-Growing Algorithm. Annals of the Association of American Geographers, 103(4), 785-807. DOI: 10.1080/00045608.2012.707591
Dorning, M. A., Koch, J., Shoemaker, D. A., & Meentemeyer, R. K. (2015). Simulating urbanization scenarios reveals tradeoffs between conservation planning strategies. Landscape and Urban Planning, 136, 28-39. DOI: 10.1016/j.landurbplan.2014.11.011
Petrasova, A., Petras, V., Van Berkel, D., Harmon, B. A., Mitasova, H., & Meentemeyer, R. K. (2016). Open Source Approach to Urban Growth Simulation. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 953-959. DOI: 10.5194/isprsarchives-XLI-B7-953-2016

AUTHOR

Anna Petrasova, NCSU GeoForAll

SOURCE CODE

Available at: r.futures.simulation source code (history)

Latest change: Monday Nov 11 18:04:48 2024 in commit: 59e289fdb093de6dd98d5827973e41128196887d