Workshop on urban growth modeling with FUTURES: Difference between revisions
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** {{AddonCmd|r.futures.devpressure}} | ** {{AddonCmd|r.futures.devpressure}} | ||
** {{AddonCmd|r.sample.category}} | ** {{AddonCmd|r.sample.category}} | ||
* R (≥ 3.0.2) - needed for {{AddonCmd | * R (≥ 3.0.2) - needed for {{AddonCmd|r.futures.potential}} with packages: | ||
**MuMIn, lme4, optparse, rgrass7 | **MuMIn, lme4, optparse, rgrass7 | ||
* SciPy - useful for {{AddonCmd | * SciPy - useful for {{AddonCmd|r.futures.demand}} | ||
== Workshop data == | == Workshop data == | ||
Revision as of 02:28, 8 March 2016
Workshop introduction
r.futures.* is an implementation of FUTure Urban-Regional Environment Simulation (FUTURES)[1] which is a model for multilevel simulations of emerging urban-rural landscape structure. FUTURES produces regional projections of landscape patterns using coupled submodels that integrate nonstationary drivers of land change: per capita demand (DEMAND submodel), site suitability (POTENTIAL submodel), and the spatial structure of conversion events (PGA submodel).
[1] 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
Software
Required software includes:
- GRASS GIS 7
- addons
- R (≥ 3.0.2) - needed for r.futures.potential with packages:
- MuMIn, lme4, optparse, rgrass7
- SciPy - useful for r.futures.demand
Workshop data
Download sample dataset containing:
- digital elevation model (NED)
- NLCD 2001, 2011
- NLCD 1992/2001 Retrofit Land Cover Change Product
- transportation network (TIGER)
- county boundaries (TIGER)
- protected areas (Secured Lands)
- cities as points (USGS)
- county population past estimates and future projections (NC OSBM) per county (nonspatial)