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Keith C. Clarke
Researcher at University of California, Santa Barbara
Publications - 209
Citations - 15126
Keith C. Clarke is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Land use & Land cover. The author has an hindex of 52, co-authored 206 publications receiving 12843 citations. Previous affiliations of Keith C. Clarke include City University of New York & National Center for Geographic Information and Analysis.
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A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area
TL;DR: A cellular automaton simulation model developed to predict urban growth as part of a project for estimating the regional and broader impact of urbanization on the San Francisco Bay area's climate is described.
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Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore.
TL;DR: 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, is applied to two rapidly growing, but remarkably different urban areas.
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The spatiotemporal form of urban growth: measurement, analysis and modeling
TL;DR: The combined approach using remote sensing, spatial metrics and urban modeling is powerful, and may prove a productive new direction for the improved understanding, representation and modeling of the spatiotemporal forms due to the process of urbanization.
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Comparing the input, output, and validation maps for several models of land change
Robert Gilmore Pontius,Wideke Boersma,Jean-Christophe Castella,Keith C. Clarke,Ton de Nijs,Charles Dietzel,Zengqiang Duan,Eric Fotsing,Noah Goldstein,Kasper Kok,Eric Koomen,Christopher D. Lippitt,William J. McConnell,Alias Mohd Sood,Bryan C. Pijanowski,Snehal Pithadia,Sean P. Sweeney,Tran Ngoc Trung,A. Tom Veldkamp,Peter H. Verburg +19 more
TL;DR: Methods of multiple resolution map comparison are applied to quantify characteristics for 13 applications of 9 different popular peer-reviewed land change models using scientifically rigorous, generally applicable, and intellectually accessible statistical techniques.
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The use of remote sensing and landscape metrics to describe structures and changes in urban land uses
TL;DR: In this article, the authors used information on image spatial formlandscape metricsto describe urban land-use structures and land-cover changes that result from urban growth, based on spatial analysis of landcover structures mapped from digitally classified aerial photographs of the urban region Santa Barbara, CA.