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

Detalhes bibliográficos
Autor(a) principal: Rossetti, Lucimari A. F. G. [UNESP]
Data de Publicação: 2013
Outros Autores: Dos Anjos F. Pinto, Sergio [UNESP], De Almeida, Claudia Maria
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6550721
http://hdl.handle.net/11449/76277
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a multi-resolution procedure based on a fuzzy similarity index and showed a satisfactory fitness in relation to the historical reference data.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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spelling Cellular automata-based spatial dynamic modeling for analyzing urban land use changeCellular automata modelsEconomic RecessionFinancial crisisFuzzy similarityResidential areasSimulation outputsSpatial dynamic modelingUrban land-use changeAutomata theoryCellular automataFuzzy logicRemote sensingLand useThis 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a multi-resolution procedure based on a fuzzy similarity index and showed a satisfactory fitness in relation to the historical reference data.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.Centre for Environmental Analysis and Planning CEAPLA São Paulo State University UNESP, Rio Claro, SPDivision for Remote Sensing DSR National Institute for Space Research INPE, São José dos Campos, SPCentre for Environmental Analysis and Planning CEAPLA São Paulo State University UNESP, Rio Claro, SPUniversidade Estadual Paulista (Unesp)Instituto Nacional de Pesquisas Espaciais (INPE)Rossetti, Lucimari A. F. G. [UNESP]Dos Anjos F. Pinto, Sergio [UNESP]De Almeida, Claudia Maria2014-05-27T11:30:09Z2014-05-27T11:30:09Z2013-08-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject288-291http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6550721Joint Urban Remote Sensing Event 2013, JURSE 2013, p. 288-291.http://hdl.handle.net/11449/76277WOS:0003256345000712-s2.0-84881326312Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJoint Urban Remote Sensing Event 2013, JURSE 2013info:eu-repo/semantics/openAccess2024-04-15T20:08:28Zoai:repositorio.unesp.br:11449/76277Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-15T20:08:28Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Cellular automata-based spatial dynamic modeling for analyzing urban land use change
title Cellular automata-based spatial dynamic modeling for analyzing urban land use change
spellingShingle Cellular automata-based spatial dynamic modeling for analyzing urban land use change
Rossetti, Lucimari A. F. G. [UNESP]
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
title_short Cellular automata-based spatial dynamic modeling for analyzing urban land use change
title_full Cellular automata-based spatial dynamic modeling for analyzing urban land use change
title_fullStr Cellular automata-based spatial dynamic modeling for analyzing urban land use change
title_full_unstemmed Cellular automata-based spatial dynamic modeling for analyzing urban land use change
title_sort Cellular automata-based spatial dynamic modeling for analyzing urban land use change
author Rossetti, Lucimari A. F. G. [UNESP]
author_facet Rossetti, Lucimari A. F. G. [UNESP]
Dos Anjos F. Pinto, Sergio [UNESP]
De Almeida, Claudia Maria
author_role author
author2 Dos Anjos F. Pinto, Sergio [UNESP]
De Almeida, Claudia Maria
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Instituto Nacional de Pesquisas Espaciais (INPE)
dc.contributor.author.fl_str_mv Rossetti, Lucimari A. F. G. [UNESP]
Dos Anjos F. Pinto, Sergio [UNESP]
De Almeida, Claudia Maria
dc.subject.por.fl_str_mv 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
topic 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
description 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.
publishDate 2013
dc.date.none.fl_str_mv 2013-08-15
2014-05-27T11:30:09Z
2014-05-27T11:30:09Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6550721
Joint Urban Remote Sensing Event 2013, JURSE 2013, p. 288-291.
http://hdl.handle.net/11449/76277
WOS:000325634500071
2-s2.0-84881326312
url http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6550721
http://hdl.handle.net/11449/76277
identifier_str_mv Joint Urban Remote Sensing Event 2013, JURSE 2013, p. 288-291.
WOS:000325634500071
2-s2.0-84881326312
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Joint Urban Remote Sensing Event 2013, JURSE 2013
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 288-291
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1803046047044337664

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