| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | mtc-m12.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 6qtX3pFwXQZ3r59YD6/Hprx2 |
| Repository | sid.inpe.br/iris@1912/2005/09.08.16.59 (restricted access) |
| Last Update | 2006:07.26.14.35.12 (UTC) marciana |
| Metadata Repository | sid.inpe.br/iris@1912/2005/09.08.16.59.50 |
| Metadata Last Update | 2018:06.05.00.40.31 (UTC) administrator |
| Secondary Key | INPE-13061-PRE/8327 |
| DOI | 10.1080/01431160512331316865 |
| ISSN | 0143-1161 |
| Citation Key | AlmeidaMoCâSoCePeBa:2005:GIReSe |
| Title | GIS and remote sensing as tools for the simulation of urban land-use change  |
| Year | 2005 |
| Month | Feb. |
| Access Date | 2024, May 05 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 445 KiB |
| 2. Context | |
| Author | 1 Almeida, Cláudia Maria de 2 Monteiro, Antonio Miguel Vieira 3 Câmara, Gilberto 4 Soares-Filho, Britaldo Silveira 5 Cerqueira, Custavo Coutinho 6 Pennachin, Cassio Lopes 7 Batty, Michael |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGJN |
| Group | 1 DSR-INPE-MCT-BR 2 DPI-INPE-MCT-BR 3 DPI-INPE-MCT-BR 4 CSR-INPE-MCT-BR 5 CSR-INPE-MCT-BR 6 7 CASA-INPE-MCT-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto (INPE, DSR) 2 Divisão de Processamento de Imagens 3 Divisão de Processamento de Imagens 4 UFMG 5 UFMG 6 Intelligenesis Brasil Ltda, Belo Horizonte 7 UCL |
| e-Mail Address | almeida@dsr.inpe.br |
| Journal | International Journal of Remote Sensing |
| Volume | 26 |
| Number | 4 |
| Pages | 759-774 |
| History (UTC) | 2006-07-26 14:35:13 :: sergio -> administrator :: 2008-06-09 19:20:12 :: administrator -> banon :: 2008-11-05 15:16:07 :: banon -> jefferson :: 2010-07-07 19:06:47 :: jefferson -> marciana :: 2011-11-01 18:47:10 :: marciana -> administrator :: 2005 2016-06-04 23:29:51 :: administrator -> marciana :: 2005 2016-09-14 13:35:40 :: marciana -> administrator :: 2005 2018-06-05 00:40:31 :: administrator -> marciana :: 2005 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Version Type | publisher |
| Keywords | Algorithms Computer simulation Economic and social effects Forecasting Geographic information systems Image analysis Mathematical models Probability Random processes Remote sensing Urban planning Bayesian probabilistic methods Remote sensing imagery Urban land-use change Urban structure Land use GIS infrastructural development land use change remote sensing socioeconomic status urban area Bauru Brazil Sao Paulo [Brazil] South America Western Hemisphere World |
| Abstract | This paper is concerned with building up methodological guidelines for modelling urban land-use change through Geographical Information Sytems. remote sensing imagery and Bayesian probabilistic methods. A medium-sized town in the west of Sao Paulo State. Bauru. was adopted as a case studs. Its urban structure was converted into a 100m / 100m resolution grid and transition probabilities were calculated for each grid cell by means of the weights of evidence' statistical method and upon the basis of the information related to the technical infrastructure and socio-economic aspects of the town. The probabilities obtained from there fed a cellular automaton 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. It indicates their possible further applicability for generating forecasts of growth trends Brazilian cities and cities. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > GIS and remote... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > GIS and remote... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | en |
| Target File | IJRS.pdf |
| User Group | administrator banon jefferson sergio |
| Reader Group | administrator marciana |
| Visibility | shown |
| Copy Holder | SID/SCD |
| Archiving Policy | denypublisher denyfinaldraft12 |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.40.32 1 |
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
| Host Collection | sid.inpe.br/banon/2001/04.06.10.52 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyright creatorhistory descriptionlevel electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |