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Dasymetric mapping and areal interpolation: implementation and evaluation / C.L. Eicher in Cartography and Geographic Information Science, vol 28 n° 2 (April 2001)  

Public [article]  inCartography and Geographic Information Science > vol 28 n° 2 (April 2001) . - pp 125 - 138 Titre : Dasymetric mapping and areal interpolation: implementation and evaluation Type de document : Article/Communication Auteurs : C.L. Eicher, Auteur ; Cynthia A. Brewer, Auteur Année de publication : 2001 Article en page(s) : pp 125 - 138 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique [Termes IGN] carte choroplèthe [Termes IGN] démographie [Termes IGN] données statistiques [Termes IGN] erreur [Termes IGN] figuration de la densité [Termes IGN] implémentation (informatique) [Termes IGN] interpolation spatiale Résumé : (Auteur) Dasymetric maps display statistical data in meaningful spatial zones. Such maps can be preferable to choropleth maps that show data by enumeration zones, because dasymetric zones more accurately represent underlying data distributions. Though dasymetric mapping has existed for well over a century, the methods for producing these maps have not been thoroughly examined. In contrast, research on areal interpolation has been more thorough and has examined methods of transferring data from one set of map zones to another, an issue that is applicable to dasymetric mapping. Inspired by this work, we tested five dasymetric mapping methods, including methods derived from work on areal interpolation. Dasymetric maps of six socio-economic variables were produced for a study area of 159 counties in the eastern US rising county choropleth data and ancillary land-use data. Both polygonal (vector) and grid (raster) dasymetric methods were tested. We evaluated map accuracy using both statistical analyses and visual presentations of error. A repeated-measures analysis of variance showed that the traditional limiting variable method had significantly lower error than the other four methods. In addition, polygon methods had lower error than their grid-based counterparts, though the difference was not statistically significant. Error maps largely supported the conclusions from the statistical analysis, while also presenting patterns of error that were not obvious from the statistics. Numéro de notice : A2001-101 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304001782173727 En ligne : https://doi.org/10.1559/152304001782173727 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21801 [article]

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