Cellular automata-based spatial dynamic modeling for analyzing urban land use change

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorInstituto Nacional de Pesquisas Espaciais (INPE)
dc.date.accessioned2014-05-27T11:30:09Z
dc.date.available2014-05-27T11:30:09Z
dc.date.created2014-05-27T11:30:09Z
dc.date.issued2013-08-15
dc.identifierJoint Urban Remote Sensing Event 2013, JURSE 2013, p. 288-291.
dc.identifierhttp://hdl.handle.net/11449/76277
dc.identifierWOS:000325634500071
dc.identifier2-s2.0-84881326312
dc.description.abstractThis 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a multi-resolution procedure based on a fuzzy similarity index and showed a satisfactory fitness in relation to the historical reference data.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.
dc.languageeng
dc.relationJoint Urban Remote Sensing Event 2013, JURSE 2013
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectCellular automata models
dc.subjectEconomic Recession
dc.subjectFinancial crisis
dc.subjectFuzzy similarity
dc.subjectResidential areas
dc.subjectSimulation outputs
dc.subjectSpatial dynamic modeling
dc.subjectUrban land-use change
dc.subjectAutomata theory
dc.subjectCellular automata
dc.subjectFuzzy logic
dc.subjectRemote sensing
dc.subjectLand use
dc.titleCellular automata-based spatial dynamic modeling for analyzing urban land use change
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución