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Grid Enabled Spatial Regression Models (With Application to Deprivation Indices)

Lead Research Organisation: University of Bristol
Department Name: Geographical Sciences

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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Brunsdon Chris (2011) Predicting participation in higher education: a comparative evaluation of the performance of geodemographic classifications in JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

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Harris R (2010) Grid-enabling Geographically Weighted Regression: A Case Study of Participation in Higher Education in England in Transactions in GIS

 
Description Introduction to Geographically Weighted Regression (GWR) and to Grid Enabled GWR 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Primary Audience
Results and Impact A training manual given to participants of a training workshop given about R, geographically weighted regression (GWR) and grid-enabled GWR
Year(s) Of Engagement Activity