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NAME
r.futures.potsurface - Module for computing development potential surface from CSV file created by r.futures.potential and predictors
KEYWORDS
raster,
statistics
SYNOPSIS
r.futures.potsurface
r.futures.potsurface --help
r.futures.potsurface input=name subregions=name output=name [separator=character] [--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
- --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:
- input=name [required]
- CSV file with coefficients
- subregions=name [required]
- Raster map of subregions
- output=name [required]
- Output probability raster
- separator=character
- Separator used in input CSV file
- Special characters: pipe, comma, space, tab, newline
- Default: comma
Module
r.futures.potsurface is a support tool for
computing development probability surface based on maps and coefficients
selected by
r.futures.potential.
It computes the initial probability surface used in the patch growing algorithm in
r.futures.pga.
It is not necessary to use this module, however it is useful to inspect
the potential surface to better understand the input data
and how the predictors influence the probability.
The values range from 0 (unlikely to be developed) to 1 (high probability of development).
The inputs are the output file from r.futures.potential
and the name of the subregions raster map.
r.futures.potsurface input=potential.csv subregions=counties output=pot_surface
Figure: We can visualize the potential surface in 3D and drape raster
representing developed (red) and undeveloped (green) cells over it.
FUTURES,
r.futures.pga,
r.futures.potential,
r.futures.devpressure,
r.futures.demand,
r.futures.calib,
r.sample.category
-
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
Anna Petrasova,
NCSU GeoForAll
SOURCE CODE
Available at:
r.futures.potsurface source code
(history)
Latest change: Tuesday Nov 05 09:35:47 2024 in commit: f00067506253c89598cffadc3c7fa07cff7233fd
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GRASS Development Team,
GRASS GIS 8.3.3dev Reference Manual