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Agent-based modelling of shifting cultivation field patterns, Vietnam / M.R. Jepsen in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 9 (october 2006) . - pp 1067 - 1085 Titre : Agent-based modelling of shifting cultivation field patterns, Vietnam Type de document : Article/Communication Auteurs : M.R. Jepsen, Auteur ; S. Leisz, Auteur ; K. Rasmussen, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 1067 - 1085 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] analyse de groupement [Termes IGN] classification barycentrique [Termes IGN] cultures [Termes IGN] figure géométrique [Termes IGN] image Landsat-TM [Termes IGN] image Terra-ASTER [Termes IGN] segmentation d'image [Termes IGN] simulation [Termes IGN] spatial metrics [Termes IGN] surface cultivée [Termes IGN] système multi-agents [Termes IGN] utilisation du sol [Termes IGN] Viet Nam Résumé : (Auteur) Shifting cultivation in the Nghe An Province of Vietnam's Northern Mountain Region produces a characteristic land-cover pattern of small and larger fields. The pattern is the result of farmers cultivating either individually or in spatially clustered groups. Using spatially explicit agent-based modelling, and relying on empirical data from fieldwork and observations for parameterization of variables, the level of clustering in agricultural fields observed around a study village is reproduced. Agents in the model act to maximize labour productivity, which is based on potential yield and labour costs associated with fencing of fields, and are faced with physical constraints. The simulation results are compared with land-cover data obtained from remote sensing. Comparisons are made on patterns as detected visually and using the mean nearest-neighbour ratio. Baseline simulation outputs show high degrees of spatial clustering and similarity to the land-cover data, but also a need for further calibration of model variables and controls. Copyright Taylor & Francis Numéro de notice : A2006-424 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600830848 En ligne : https://doi.org/10.1080/13658810600830848 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28148 [article]

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