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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/sergio/2004/03.31.11.36
Last Update2004:04.01.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/sergio/2004/03.31.11.36.06
Metadata Last Update2018:06.05.00.40.49 (UTC) administrator
Secondary KeyINPE-9043-PRE/4719
Citation KeyAlmeidaMoCâSoCePeBa:2002:GIReSe
TitleGIS and remote sensing as tools for the simulation of urban land use change
FormatOn-line
Year2002
Access Date2024, May 05
Secondary TypePRE CI
Number of Files1
Size337 KiB
2. Context
Author1 Almeida, Cláudia Maria de
2 Monteiro, Antonio Miguel Vieira
3 Câmara, Gilberto
4 Soares-Filho, Britaldo Silveira
5 Cerqueira, Gustavo Coutinho
6 Pennachin, Cássio Lopes
7 Batty, Michael
Resume Identifier1
2 8JMKD3MGP5W/3C9JGJN
Group1 DPI-INPE-MCT-BR
2 DPI-INPE-MCT-BR
3 DPI-INPE-MCT-BR
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Affiliation1 UFMG, Belo Horizonte. MG // Intelligenesis do Brasil, Belo Horizonte. MG // University College London, UK.
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Conference NameInternational Symposium Remote Sensing of Urban Areas, 3.
Conference LocationIstambul
Date11-13 june 2002
Book TitleAnales
History (UTC)2005-07-18 18:06:25 :: administrator -> marciana ::
2006-05-18 17:55:40 :: marciana -> administrator ::
2018-06-05 00:40:49 :: administrator -> marciana :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsUrban modelling
land use change
Bayes theorem
weights of evidence
cellular automata
urban planning
AbstractThis scientific paper, part of a PhD Thesis currently under execution at the Division for Image Processing of the Brazilian National Institute for Space Research (DPI - INPE), is committed with building up a methodological guideline for modelling urban land use change through GIS, remote sensing imagery and Bayesian probabilistic methods. A medium-sized town in the west of São Paulo State, Bauru, was adopted as case study. Its urban structure was converted into a 100 x 100 (m) resolution grid, and transition probabilities were calculated for each grid cell by means of the "weights of evidence" statistical method and upon basis of the information related to the technical infrastructure and socio-economic aspects of the town. The probabilities therefrom obtained fed a cellular automaton (CA) simulation model - DINAMICA- developed by the Centre for Remote Sensing of the Federal University of Minas Gerais (CSR-UFMG), based on stochastic transition algorithms. Different simulation outputs for the case study town in the period 1979-1988 were generated, and statistical validation tests were then conducted for the best results, employing a multiple resolution fitting procedure. This modelling experiment revealed the plausibility of adopting Bayesian empirical methods based on the available knowledge of technical infrastructure and socio-economic status to simulate urban land use change, what implies their possible further applicability for generating forecasts of growth trends both for Brazilian and worldwide cities.
AreaSRE
ArrangementGIS and remote...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/sid.inpe.br/sergio/2004/03.31.11.36
zipped data URLhttp://urlib.net/zip/sid.inpe.br/sergio/2004/03.31.11.36
Languageen
Target FileIJRS_Almeida_RSURB3_BR2_B_W.pdf
User Groupadministrator
marciana
Visibilityshown
Copy HolderSID/SCD
Update Permissiontransferred to marciana
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.40.32 1
Dissemination<E>
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyright creatorhistory descriptionlevel doi e-mailaddress edition editor electronicmailaddress identifier isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
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