Jason Dykes|Chris Brunsdon
Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis
City, University of London|University of Leicester
introduce series geographically weighted gw interactive graphics geowigs use explore spatial relationships range scales visually encode information geographic statistical proximity variation novel ways gwchoropleth maps multivariate gwboxplots gwshading scalograms new graphic types reveal information gw statistics several scales concurrently impement views prototype software containing dynamic links gw interactions encourage exploration refine consider directional geographies informal evaluation uses interactive gw techniques consider guerrys dataset moral statistics casting doubt correlations originally proposed visual analysis revealing new local anomalies suggesting multivariate geographic relationships attempts visually synthesising geography multivariate statistical values multiple scales reported geowigs proposed provide informative representations multivariate local variation particularly combined interactions coordinate views result gwshading argue widely applicable area pointbased geographic data provide set methods support visual analysis using gw statistics effects geography explored multiple scales