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Exploring spatial data uncertainties in land-use change scenarios / N. Dendoncker 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 1013 - 1030 Titre : Exploring spatial data uncertainties in land-use change scenarios Type de document : Article/Communication Auteurs : N. Dendoncker, Auteur ; C. Schmit, Auteur ; M. Rounsevell, Auteur Année de publication : 2008 Article en page(s) : pp 1013 - 1030 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] agrégation spatiale [Termes IGN] carte d'occupation du sol [Termes IGN] changement d'utilisation du sol [Termes IGN] données localisées [Termes IGN] incertitude des données [Termes IGN] limite de résolution géométrique [Termes IGN] Luxembourg [Termes IGN] planification [Termes IGN] rastérisation [Termes IGN] simulation Résumé : (Auteur) This paper evaluates errors and uncertainties in representing landscapes that arise from different data rasterization methods, spatial resolutions, and downscaled land-use change (LUC) scenarios. A vector LU dataset for Luxembourg (minimum mapping unit: 0.15 ha; year 2000) was used as the baseline reference map. This map was rasterized at three spatial resolutions using three cell class assignment methods. The landscape composition and configuration of these maps were compared. Four alternative scenarios of future LUC were also generated for the three resolutions using existing LUC scenarios and a statistical downscaling method creating 37 maps of LUC for the year 2050. These maps were compared in terms of composition and spatial configuration using simple metrics of landscape fragmentation and an analysis of variance (ANOVA). Differences in landscape composition and configuration between the three cell class assignment methods and the three spatial resolutions were found to be at least as large as the differences between the LUC scenarios. This occurred in spite of the large LUC projected by the scenarios. This demonstrates the importance of the rasterization method and the level of aggregation as a contribution to uncertainty when developing future LUC scenarios and in analysing landscape structure in ecological studies. Numéro de notice : A2008-313 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701812836 En ligne : https://doi.org/10.1080/13658810701812836 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29306 [article]

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