Combining geovisual analytics with spatial statistics: The example of geographically weighted regression

Urška Demšar, A. Stewart Fotheringham, Martin Charlton

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)182-192
Number of pages11
JournalCartographic Journal
Volume45
Issue number3
DOIs
StatePublished - 2008

ASJC Scopus subject areas

  • Earth-Surface Processes

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