Dykes, Jason and Brunsdon, Chris
(2007)
Geographically Weighted Visualization: Interactive Graphics
for Scale-Varying Exploratory Analysis.
IEEE Transactions on Visualization and Computer Graphics, 13 (6).
pp. 1161-1168.
ISSN 1941-0506
Abstract
We introduce a series of geographically weighted (GW) interactive graphics, or
geowigs
, and use them to explore
spatial relationships at a range of scales. We visually encode information about geographic and statistical proximity and varia
tion in
novel ways through
gw-choropleth maps
, multivariate
gw-boxplots
,
gw-shading
and
scalograms
. The new graphic types reveal
information about GW statistics at several scales concurrently. We impement these views in prototype software containing dynami
c
links and GW interactions that encourage exploration and refine them to consider directional geographies. An informal evaluatio
n
uses interactive GW techniques to consider Guerry’s dataset of 'moral statistics', casting doubt on correlations originally pro
posed
through visual analysis, revealing new local anomalies and suggesting multivariate geographic relationships. Few attempts at
visually synthesising geography with multivariate statistical values at multiple scales have been reported. The
geowigs
proposed
here provide informative representations of multivariate local variation, particularly when combined with interactions that coo
rdinate
views and result in
gw-shading
. We argue that they are widely applicable to area and point-based geographic data and provide a set
of methods to support visual analysis using GW statistics through which the effects of geography can be explored at multiple sc
ales.
Item Type: |
Article
|
Keywords: |
Geographical weighting; exploratory data analysis; scale; multivariate; directional; interaction; coordinated views; |
Academic Unit: |
Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG |
Item ID: |
6140 |
Depositing User: |
Prof. Chris Brunsdon
|
Date Deposited: |
22 May 2015 09:11 |
Journal or Publication Title: |
IEEE Transactions on Visualization and Computer Graphics |
Publisher: |
Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: |
Yes |
URI: |
|
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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