Brunsdon, Chris, Fotheringham, Stewart and Charlton, Martin (2002) Geographically weighted summary statistics — a framework for localised exploratory data analysis. Computers, Environment and Urban Systems, 26. pp. 501-524. ISSN 0198-9715
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Abstract
Geographical kernel weighting is proposed as a method for deriving local summary statistics
from geographically weighted point data. These local statistics are then used to visualise
geographical variation in the statistical distribution of variables of interest. Univariate and
bivariate summary statistics are considered, for both moment-based and order-based
approaches. Several aspects of visualisation are considered. Finally, an example based on
house price data is presented.
Item Type: | Article |
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Keywords: | Geographical kernel weighting; Localised exploratory data analysis; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG |
Item ID: | 5878 |
Depositing User: | Martin Charlton |
Date Deposited: | 19 Feb 2015 14:42 |
Journal or Publication Title: | Computers, Environment and Urban Systems |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/5878 |
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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