Centre de documentation
scientifique

Grid-enabling Geographically Weighted Regression: a case study of participation in higher education in England / R. Harris in Transactions in GIS, vol 14 n° 1 (February 2010)  

Public [article]  inTransactions in GIS > vol 14 n° 1 (February 2010) . - pp 43 - 61 Titre : Grid-enabling Geographically Weighted Regression: a case study of participation in higher education in England Type de document : Article/Communication Auteurs : R. Harris, Auteur ; A. Singleton, Auteur ; D. Grose, Auteur ; C. Brunsdon, Auteur ; Paul A. Longley, Auteur Année de publication : 2010 Article en page(s) : pp 43 - 61 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] Angleterre [Termes IGN] données démographiques [Termes IGN] données socio-économiques [Termes IGN] enseignement supérieur [Termes IGN] géocodage [Termes IGN] grille [Termes IGN] modélisation spatio-temporelle [Termes IGN] régression géographiquement pondérée Résumé : (Auteur) Geographically Weighted Regression (GWR) is a method of spatial statistical analysis used to explore geographical differences in the effect of one or more predictor variables upon a response variable. However, as a form of local analysis, it does not scale well to (especially) large data sets because of the repeated processes of fitting and then comparing multiple regression surfaces. A solution is to make use of developing grid infrastructures, such as that provided by the National Grid Service (NGS) in the UK, treating GWR as an "embarrassing parallel" problem and building on existing software platforms to provide a bridge between an open source implementation of GWR (in R) and the grid system. To demonstrate the approach, we apply it to a case study of participation in Higher Education, using GWR to detect spatial variation in social, cultural and demographic indicators of participation. Copyright Blackwell Publishing Numéro de notice : A2010-004 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2009.01181.x Date de publication en ligne : 17/01/2010 En ligne : https://doi.org/10.1111/j.1467-9671.2009.01181.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30200 [article]