1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m16c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZGivnK3Y/ULGEt |
Repository | sid.inpe.br/mtc-m18@80/2008/07.15.23.03 (restricted access) |
Last Update | 2008:07.15.23.03.19 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m18@80/2008/07.15.23.03.21 |
Metadata Last Update | 2018:06.04.04.05.23 (UTC) administrator |
DOI | http://dx.doi.org/10.1080/13658810701731168 |
ISSN | 1365-8816 1362-3087 |
Citation Key | AlmeidaGlerCastSoar:2008:UsNeNe |
Title | Using neural networks and cellular automata for modeling intra-urban land use dynamics |
Project | Modelagem Dinâmica de Processos Sociais e Ambientais |
Year | 2008 |
Month | Nov |
Access Date | 2024, Apr. 28 |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 885 KiB |
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2. Context | |
Author | 1 Almeida, Cláudia Maria de 2 Gleriani, José Marinaldo 3 Castejon, Emiliano Ferreira 4 Soares-Filho, Britaldo Silveira |
Group | 1 DSR-OBT-INPE-MCT-BR 2 3 DPI-OBT-INPE-MCT-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Universidade Federal de Viçosa 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Universidade Federal de Minas Gerais |
Author e-Mail Address | 1 almeida@dsr.inpe.br 2 gleriani@ufv.br 3 castejon@dpi.inpe.br 4 britaldo@csr.ufmg.br |
e-Mail Address | almeida@dsr.inpe.br |
Journal | International Journal of Geographical Information Science |
Volume | 22 |
Number | 9 |
Pages | 943-963 |
Secondary Mark | A_INTERDISCIPLINAR C_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA |
History (UTC) | 2008-07-15 23:03:21 :: ariovaldo -> administrator :: 2018-06-04 04:05:23 :: administrator -> ariovaldo :: 2008 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Neural networks Cellular automata Urban modelling Land-use dynamics Fuzzy similarity measures Town planning |
Abstract | Empirical models designed to simulate and predict urban land-use change in real situations are generally based on the utilization of statistical techniques to compute the land-use change probabilities. In contrast to these methods, artificial neural networks arise as an alternative to assess such probabilities by means of non-parametric approaches. This work introduces a simulation experiment on intra-urban land-use change in which a supervised back-propagation neural network has been employed in the parameterization of several biophysical and infrastructure variables considered in the simulation model. The spatial land-use transition probabilities estimated thereof feed a cellular automaton (CA) simulation model, based on stochastic transition rules. The model has been tested in a medium-sized town in the Midwest of Satildeo Paulo State, Piracicaba. A series of simulation outputs for the case study town in the period 1985-1999 were generated, and statistical validation tests were then conducted for the best results, based on fuzzy similarity measures. |
Area | SRE |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | en |
Target File | IJGIS_Neural Networks.pdf |
User Group | administrator ariovaldo |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
URL (untrusted data) | http://www.informaworld.com/smpp/content~content=a794967420~db=all?jumptype=alert&alerttype=author,email |
Dissemination | WEBSCI; PORTALCAPES. |
Host Collection | sid.inpe.br/mtc-m18@80/2008/03.17.15.17 |
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6. Notes | |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork versiontype |
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7. Description control | |
e-Mail (login) | ariovaldo |
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