Brunsdon, Chris and 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
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
URI:	Publisher
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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