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Auteur A.M. Vieira Monteiro |
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GIS and remote sensing as tools for the simulation of urban land-use change / C.M. Almeida in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)
[article]
Titre : GIS and remote sensing as tools for the simulation of urban land-use change Type de document : Article/Communication Auteurs : C.M. Almeida, Auteur ; A.M. Vieira Monteiro, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 759 - 774 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] automate cellulaire
[Termes IGN] changement d'occupation du sol
[Termes IGN] croissance urbaine
[Termes IGN] estimation bayesienne
[Termes IGN] maille carrée
[Termes IGN] milieu urbain
[Termes IGN] modèle de simulation
[Termes IGN] modèle stochastique
[Termes IGN] Sao Paulo
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du solRésumé : (Auteur) This paper is concerned with building up methodological guidelines for modelling urban land-use change through Geographical Information Systems, remote sensing imagery and Bayesian probabilistic methods. A medium-sized town in the west of Sào Paulo State, Bauru, was adopted as a case study. Its urban structure was converted into a 100m x 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 Gerals (CSR-UFNIG), 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 Bavesian 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 both for Brazilian cities and cities world-wide. Numéro de notice : A2005-054 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331316865 En ligne : https://doi.org/10.1080/01431160512331316865 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27192
in International Journal of Remote Sensing IJRS > vol 26 n° 4 (February 2005) . - pp 759 - 774[article]Exemplaires(1)
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