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Using neural networks and cellular automata for modelling intra-urban land-use dynamics / C.M. Almeida in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 22 n° 8-9 (august 2008) . - pp 943 - 963 Titre : Using neural networks and cellular automata for modelling intra-urban land-use dynamics Type de document : Article/Communication Auteurs : C.M. Almeida, Auteur ; J.M. Gleriani, Auteur ; E.F. Castejon, Auteur ; B.S. Soares-Filho, Auteur Année de publication : 2008 Article en page(s) : pp 943 - 963 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse diachronique [Termes IGN] automate cellulaire [Termes IGN] milieu urbain [Termes IGN] modèle de simulation [Termes IGN] planification urbaine [Termes IGN] réseau neuronal artificiel [Termes IGN] Sao Paulo [Termes IGN] utilisation du sol [Termes IGN] ville Résumé : (Auteur) 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 Sao 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. Copyright Taylor & Francis Numéro de notice : A2008-310 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701731168 En ligne : https://doi.org/10.1080/13658810701731168 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29303 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-08051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-08052	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 4 (February 2005) . - pp 759 - 774 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 sol Résumé : (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 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05041	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt