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An example of decision support for trypanosomiasis control using a geographical information system in eastern Zambia / T.P. Robinson in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 4 (june 2002) . - pp 345 - 360 Titre : An example of decision support for trypanosomiasis control using a geographical information system in eastern Zambia Type de document : Article/Communication Auteurs : T.P. Robinson, Auteur ; R.S. Harris, Auteur ; J.S. Hopkins, Auteur ; B.G. Williams, Auteur Année de publication : 2002 Article en page(s) : pp 345 - 360 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] aide à la décision [Termes IGN] maladie parasitaire [Termes IGN] maladie tropicale [Termes IGN] surveillance sanitaire [Termes IGN] système d'information géographique [Termes IGN] Zambie Résumé : (Auteur) (Auteur) This paper presents a new method to simulate the evolution of multiple land uses based on the integration of neural networks and cellular automata using GIS. Simulation of multiple land use changes using cellular automata (CA) is difficult because numerous spatial variables and parameters have to be utilized. Conventional CA models have problems in defining simulation parameter values, transition rules and model structures. In this paper, a three-layer neural network with multiple output neurons is designed to calculate conversion probabilities for competing multiple land uses. The model involves iterative looping of the neural network to simulate gradual land use conversion processes. Spatial variables are not deterministic because they are dynamically updated at the end of each loop. A GIS is used to obtain site attributes and training data, and to provide spatial functions for constructing the neural network. The parameter values for modelling are automatically generated by the training procedure of neural networks. The model has been successfully applied to the simulation of multiple land use changes in a fast growing area in southern China. Numéro de notice : A2002-161 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810110095057 En ligne : https://doi.org/10.1080/13658810110095057 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22076 [article]

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