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Brunsdon, Chris, Charlton, Martin and Harris, Paul (2012) Living with Collinearity in Local Regression Models. In: Accuracy 2012 - 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 10th - 13th July, 2012, Florianópolis, SC, Brazil.
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Abstract
We investigate the issue of collinearity in data when using Geographically Weighted
Regression to explore spatial variation in data sets – and show how the ideas of condition numbers
and variance inflation factors may be `localised’ to detect and respond to problems caused by this
phenomenon.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | Geographically Weighted Regression; Collinearity; Variance Inflation Factor; Condition Number; Model Diagnostics; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG |
| Item ID: | 5755 |
| Depositing User: | Martin Charlton |
| Date Deposited: | 02 Feb 2015 16:38 |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/5755 |
| 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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