title: Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore.
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."
authors.forename: K C
authors.initials: KC
authors.lastname: Clarke
authors.forename: L J
authors.initials: LJ
authors.lastname: Gaydos
mesh_terms: D000569:Americas; D003710:Demography; D019049:Developed Countries; D005544:Forecasting; D005843:Geography; D008962:Models, Theoretical; D009656:North America; D011153:Population; D011158:Population Growth; D012106:Research; D013223:Statistics as Topic; D014481:United States; D014505:Urban Population; D014507:Urbanization
keywords: Americas; Developed Countries; Estimation Technics; Geographic Factors; Models, Theoretical; North America; Northern America; Population; Population Growth Estimation; Population Projection; Research Methodology; Spatial Distribution; United States; Urban Spatial Distribution; Urbanization