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Brunsdon, Chris, Fotheringham, Stewart and Charlton, Martin (2002) Geographically Weighted Local Statistics Applied to Binary Data. Geographic Information Science Lecture Notes in Computer Science, 2478. pp. 38-50. ISSN 978-3-540-44253-0
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Abstract
This paper considers the application of geographically weighting to summary statistics for binary data. We argue that geographical smoothing techniques that are applied to descriptive statistics for ratio and interval scale data may also be applied to descriptive statistics for binary categorical data. Here we outline how this may be done, focussing attention on the odds ratio statistic used for summarising the linkage between a pair of binary variables. An example of this is applied to data relating to house sales, based on over 30,000 houses in the United Kingdom. The method is used to demonstrate that time trends in the building of detached houses vary throughout the country.
| Item Type: | Article |
|---|---|
| Keywords: | Geographically Weighted Local Statistics; Binary Data; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG |
| Item ID: | 5892 |
| Identification Number: | 10.1007/3-540-45799-2_3 |
| Depositing User: | Martin Charlton |
| Date Deposited: | 20 Feb 2015 12:08 |
| Journal or Publication Title: | Geographic Information Science Lecture Notes in Computer Science |
| Publisher: | Springer Berlin Heidelberg |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/5892 |
| 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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