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A concentration-based approach to data classification for choropleth mapping / Robert G. Cromley in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 10 (October 2015) . - pp 1845 - 1863 Titre : A concentration-based approach to data classification for choropleth mapping Type de document : Article/Communication Auteurs : Robert G. Cromley, Auteur ; Shuowei Zhang, Auteur ; Natalia Vorotyntseva, Auteur Année de publication : 2015 Article en page(s) : pp 1845 - 1863 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique [Termes IGN] carte choroplèthe [Termes IGN] classification [Termes IGN] courbe de Lorenz [Termes IGN] données statistiques [Termes IGN] précision des données Résumé : (Auteur) The choropleth map is a device used for the display of socioeconomic data associated with an areal partition of geographic space. Cartographers emphasize the need to standardize any raw count data by an area-based total before displaying the data in a choropleth map. The standardization process converts the raw data from an absolute measure into a relative measure. However, there is recognition that the standardizing process does not enable the map reader to distinguish between low–low and high–high numerator/denominator differences. This research uses concentration-based classification schemes using Lorenz curves to address some of these issues. A test data set of nonwhite birth rate by county in North Carolina is used to demonstrate how this approach differs from traditional mean–variance-based systems such as the Jenks’ optimal classification scheme. Numéro de notice : A2015-612 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1058388 En ligne : https://doi.org/10.1080/13658816.2015.1058388 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78042 [article]