DESCRIPTION
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.
EXAMPLES
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.
SEE ALSO
FUTURES,
r.futures.pga,
r.futures.potential,
r.futures.devpressure,
r.futures.demand,
r.futures.calib,
r.sample.category
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
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