Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore

Int J Geogr Inf Sci. 1998 Oct-Nov;12(7):699-714. doi: 10.1080/136588198241617.

Abstract

"Prior research developed a cellular automaton model, that was calibrated by using historical digital maps of urban areas and can be used to predict the future extent of an urban area. The model has now been applied to two rapidly growing, but remarkably different urban areas: the San Francisco Bay region in California and the Washington/Baltimore corridor in the Eastern United States. This paper presents the calibration and prediction results for both regions, reviews their data requirements, compares the differences in the initial configurations and control parameters for the model in the two settings, and discuses the role of GIS in the applications."

MeSH terms

  • Americas
  • Demography
  • Developed Countries
  • Forecasting*
  • Geography*
  • Models, Theoretical*
  • North America
  • Population
  • Population Growth*
  • Research
  • Statistics as Topic
  • United States
  • Urban Population
  • Urbanization*