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Combining Geovisual Analytics with Spatial Statistics: the Example of Geographically Weighted Regression
Demšar, Urška; Fotheringham, Stewart; Charlton, Martin
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.
Keyword(s): National Center for Geocomputation, NCG; Statistics; Geospatial data; Regressions Analysis; Multivariate Analysis; Spatial Analysis
Publication Date:
2008
Type: Journal article
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): 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
Publisher(s): The British Cartographic Society
File Format(s): other
Related Link(s): http://mural.maynoothuniversity.ie/5777/1/MC_Combining.pdf
First Indexed: 2020-01-31 06:23:50 Last Updated: 2020-09-30 07:15:49