Centre de documentation
scientifique

Exploring the impact of dasymetric refinement on spatiotemporal small area estimates / Barbara P. Buttenfield in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)  

Public [article]  inCartography and Geographic Information Science > Vol 42 n° 5 (November 2015) . - pp 449 - 459 Titre : Exploring the impact of dasymetric refinement on spatiotemporal small area estimates Type de document : Article/Communication Auteurs : Barbara P. Buttenfield, Auteur ; Matt Ruther, Auteur ; Stefan Leyk, Auteur Année de publication : 2015 Article en page(s) : pp 449 - 459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] analyse diachronique [Termes IGN] démographie [Termes IGN] données spatiotemporelles [Termes IGN] figuration de la densité [Termes IGN] interpolation [Termes IGN] méthodologie Résumé : (Auteur) Comparing demographic small area estimates across multiple time periods is hindered by boundary changes in census enumeration units. Areal interpolation can resolve temporal incompatibilities, but underlying assumptions of uniform population density within units is sometimes flawed and results in distorted estimates. Dasymetric modeling refines spatial precision by limiting areal interpolation to the most likely residential areas. Here, a systematic examination of the impacts of dasymetric refinement on temporal interpolation accuracy compares errors that emerge as a consequence of differing time spans. This paper compares the accuracy of three commonly utilized methods of areal interpolation for temporal analysis of population data over the 1990–2010 decades. It examines whether multi-temporal dasymetric refinement prior to areal interpolation improves the accuracy of small area estimates, comparing two different demographic contexts. Data sets include tract-level demography exhibiting dramatic growth (Las Vegas, Nevada), and relative stability (Pittsburgh, Pennsylvania). Areal interpolation with and without the dasymetric refinement is validated using block level data. The dasymetrically refined target density weighting (TDW) provides the overall best performance for the 2000 source data and the expectation maximization (EM) method gives the overall best performance for the 1990 source data; effects of refinement are more prominent in areas of faster population change. Numéro de notice : A2015-561 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1065206 En ligne : https://doi.org/10.1080/15230406.2015.1065206 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77604 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2015051	RAB	Revue	Centre de documentation	En réserve L003	Disponible