Combining geovisual analytics with spatial statistics

The example of geographically weighted regression

Urška Demšar, Stewart Fotheringham, Martin Charlton

Research output: Contribution to journalArticle

13 Citations (Scopus)

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
Externally publishedYes

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statistics
regression
statistical method
interpretation
parameter
method

ASJC Scopus subject areas

  • Geography, Planning and Development

Cite this

Combining geovisual analytics with spatial statistics : The example of geographically weighted regression. / Demšar, Urška; Fotheringham, Stewart; Charlton, Martin.

In: Cartographic Journal, Vol. 45, No. 3, 2008, p. 182-192.

Research output: Contribution to journalArticle

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