Demšar, Urška and Fotheringham, Stewart and Charlton, Martin (2008) Combining Geovisual Analytics with Spatial Statistics: the Example of Geographically Weighted Regression. The Cartographic Journal, 45 (3). pp. 182-192. ISSN 0008-7041

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Abstract

An attempt is made to facilitate interpretation of the results of a spatial statistical method – Geographically Weighted Regression (GWR) – using a geovisual exploratory approach. The GWR parameter space is treated as a multivariate dataset and explored in a geovisual exploratory environment with the goal to identify spatial and multivariate patterns that describe the spatial variability of the parameters and underlying spatial processes.

Item Type:	Article
Keywords:	Statistics; Geospatial data; Regressions Analysis; Multivariate Analysis; Spatial Analysis;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	5777
Identification Number:	https://doi.org/10.1179/000870408X311378
Depositing User:	Martin Charlton
Date Deposited:	04 Feb 2015 15:45
Journal or Publication Title:	The Cartographic Journal
Publisher:	The British Cartographic Society
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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