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Replication of Spatio-temporal Land Use Patterns at Three Levels of Aggregation by an Urban Cellular Automata

  • Charles Dietzel
  • Keith C. Clarke
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3305)

Abstract

The SLEUTH urban growth model [1] is a cellular automata model that has been widely applied throughout the geographic literature to examine the historic settlement patterns of cities and to forecast their future growth. In this research, the ability of the model to replicate historical patterns of land use is examined by calibrating the model to fit historical data with 5, 10, and 15 different land use classes. The model demonstrates it robustness in being able to correctly replicate 72-93% of the land use transitions over an eight-year time period, in both space and time.

Keywords

Cellular Automaton Cellular Automaton Urban Growth Urban System Cellular Automaton Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Charles Dietzel
    • 1
  • Keith C. Clarke
    • 2
  1. 1.Department of GeographyUniversity of California, Santa BarbaraSanta BarbaraUSA
  2. 2.National Center for Geographic Information AnalysisUniversity of California, Santa Barbara, Department of GeographySanta BarbaraUSA

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