Share and Export
Share and Export
Brunsdon, Chris, Aitkin, Murray, Fotheringham, Stewart and Charlton, Martin (1999) A Comparison of Random Coefficient Modelling and Geographically Weighted Regression for Spatially Non-stationary Regression Problems. Geographical and Environmental Modelling, 3 (1). pp. 47-62. ISSN 1361-5939
Preview
Available under License Creative Commons Attribution Non-commercial Share Alike.
Download (5MB) | Preview
Abstract
Compares random coefficient modelling (RCM) and geographically weighted regression for spatially non-stationary regression. Relationship between limiting long-term illness (LLTI) and social factors; Variants of RCM; Factors contributing to the prevalence of LLTI.
| Item Type: | Article |
|---|---|
| Keywords: | Random Coefficient Modelling; Geographically Weighted Regression; Spatially Non-stationary Regression; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG |
| Item ID: | 5991 |
| Depositing User: | Martin Charlton |
| Date Deposited: | 26 Mar 2015 12:15 |
| Journal or Publication Title: | Geographical and Environmental Modelling |
| Publisher: | Taylor & Francis |
| Refereed: | Yes |
| Related URLs: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Downloads
Downloads per month over past year
Origin of downloads
Repository Staff Only (login required)
- Item control page
