Brunsdon, Chris and Aitkin, Murray and 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
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 |
| URI: |
|
| 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 |
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