Cellular automata-based spatial dynamic modeling for analyzing urban land use change
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Data
2013-08-15
Autores
Rossetti, Lucimari A. F. G. [UNESP]
Dos Anjos F. Pinto, Sergio [UNESP]
De Almeida, Claudia Maria
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Resumo
This paper analyzes land use change in Rio Claro City and its surroundings, located in the southeastern state of Sao Paulo, in the period from 1988 to 1995, using air-borne digital imagery and a cellular automata model. The simulation experiment was carried out in the Dinamica EGO platform and the results revealed a constrained urban sprawl, resulting from both the densification of residential areas implemented in previous years and the economic recession that led to an internal financial crisis in Brazil during the early 1990s. The simulation outputs were validated using a multi-resolution procedure based on a fuzzy similarity index and showed a satisfactory fitness in relation to the historical reference data. © 2013 IEEE.
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Palavras-chave
Cellular automata models, Economic Recession, Financial crisis, Fuzzy similarity, Residential areas, Simulation outputs, Spatial dynamic modeling, Urban land-use change, Automata theory, Cellular automata, Fuzzy logic, Remote sensing, Land use
Como citar
Joint Urban Remote Sensing Event 2013, JURSE 2013, p. 288-291.