r.futures.* is an implementation of FUTure Urban-Regional Environment Simulation (FUTURES) 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).
This tutorial shows how to prepare data and run the model. You can download sample dataset from here (TODO) and simulate urban growth in The Triangle, region in the Piedmont of North Carolina in the United States with rapidly growing cities Raleigh, Durham and Chapel Hill.
Required software includes:
- GRASS GIS 7
- r.futures addon
- R (≥ 3.0.2)
- SciPy (optional)
Input data used in this tutorial
- 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 above 20000 (USGS)
- county population past estimates and future projections (NC OSBM) per county (nonspatial)