Geographic visualization: designing manipulable maps for exploring temporally varying georeferenced statistics

Alan Maceachren, Francis P. Boscoe, Daniel Haug, Linda W. Pickle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

71 Scopus citations

Abstract

Geographic Visualization, sometimes called cartographic visualization, is a form of information visualization in which principles from cartography, geographic information systems (GIS), Exploratory Data Analysis (EDA), and information visualization more generally are integrated in the development and assessment of visual methods that facilitate the exploration, analysis, synthesis, and presentation of georeferenced information. We report on development and use of one component of a prototype GVis environment designed to facilitate exploration, by domain experts, of time series multivariate georeferenced health statistics. Emphasis is on how manipulate dynamic GVis tools may facilitate visual thinking, pattern noticing, and hypothesis generation. The prototype facilitates the highlighting of data extremes, examination of change in geographic patterns over time, and exploration of similarity among georeferenced variables. A qualitative exploratory analysis of verbal protocols and transaction logs is used to characterize system use. Evidence produced through the characterization highlights differences among experts in data analysis strategies (particularly in relation to the use of attribute 'focusing' combined with time series animation) and corresponding differences in success at noticing spatiotemporal patterns.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Symposium on Information Visualization
PublisherIEEE
Pages87-94
Number of pages8
StatePublished - 1998
EventProceedings of the 1998 IEEE Symposium on Information Visualization - Triangle Park, NC, USA
Duration: Oct 19 1998Oct 20 1998

Other

OtherProceedings of the 1998 IEEE Symposium on Information Visualization
CityTriangle Park, NC, USA
Period10/19/9810/20/98

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

Cite this

Maceachren, A., Boscoe, F. P., Haug, D., & Pickle, L. W. (1998). Geographic visualization: designing manipulable maps for exploring temporally varying georeferenced statistics. In Proceedings of the IEEE Symposium on Information Visualization (pp. 87-94). IEEE.