ePrints

Geographically weighted summary statistics - a framework for localised exploratory data analysis

Lookup NU author(s): Dr Christopher Brunsdon, Professor Alexander Fotheringham, M Charlton

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

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. © 2002 Elsevier Science Ltd. All rights reserved.

Publication metadata

Author(s): Brunsdon CF, Fotheringham AS, Charlton ME

Publication type: Article

Publication status: Published

Journal: Computers, Environment and Urban Systems

Year: 2002

Volume: 26

Issue: 6

Pages: 501-524

ISSN (print): 0198-9715

ISSN (electronic): 1873-7587

URL: http://dx.doi.org/10.1016/S0198-9715(01)00009-6

DOI: 10.1016/S0198-9715(01)00009-6

Altmetrics

Share