DESCRIPTION
Since FUTURES model is stochastic, multiple runs are recommended.
Module r.futures.parallelpga is a script for running
r.futures.pga on multiple CPUs.
All options of r.futures.pga are available
(except for random seed options which are handled by r.futures.parallelpga).
Option repeat changes the number of times the simulation is repeated
with the same settings but different random seed.
Option nprocs sets the number of parallel processes to be used,
which depends on number of available CPUs.
Flag -d switches on parallelization on subregion level.
Subregions are split and simulation runs on each subregion individually. This
approach is convenient if available memory is not sufficient for the entre study area.
However, as each subregion is handled separately, development pressure on the edge of a subregion
does not influence its neighbors. This can influence the results in case of significant development
happening on the subregion boundary.
EXAMPLES
SEE ALSO
FUTURES,
r.futures.pga,
r.futures.devpressure,
r.futures.potsurface,
r.futures.demand,
r.futures.calib,
r.futures.potential,
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
Last changed: $Date$