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ISDS Research Committee Data Visualization for Health Surveillance:

ISDS Research Committee Data Visualization for Health Surveillance: Current Concepts and New Horizons 23 September 2009 The GeoViz Toolkit: An easy-to-use approach to ESDA Frank Hardisty GeoVISTA Center Dutton e-Education Institute Department of Geography

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ISDS Research Committee Data Visualization for Health Surveillance:

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  1. ISDS Research Committee Data Visualization for Health Surveillance: Current Concepts and New Horizons 23 September 2009 The GeoViz Toolkit: An easy-to-use approach to ESDA Frank Hardisty GeoVISTA Center Dutton e-Education Institute Department of Geography Pennsylvania State University

  2. Our Approach to Multivariate Exploratory Spatial Data Analysis Multivariate  Small multiples, integrated views, data reduction Exploratory  Foster interaction Spatial  Link the spatial and other views Analysis  Spatial structure (including cluster) detection and description

  3. Software – The GeoViz Toolkit • Open Source • Web Delivered • Video Intro Applications (Agencies): Research (NSF) Public Health (NCI, CDC) Public Safety (DHS)

  4. Multivariate Exploratory Spatial Data Analysis

  5. Multivariate Data - Integrated Views – Starplots, Parallel Coordinate Plots Starplot Maps

  6. Why Starplots? • Multivariate Exploratory Mapping (Geovisualization) • Good for: a large number of attributes • Bad for: a large number of observations

  7. What are Starplots?

  8. New York Kentucky Texas California What are Starplots? Awesome Legend

  9. Geography: Starplot Maps

  10. Data Reduction – Linkgraph, RadViz, PCA Linkgraph

  11. Multivariate Exploratory SpatialData Analysis

  12. Interaction – Automatic coordination, novel highlighting

  13. Multivariate Exploratory Spatial Data Analysis

  14. Spatial Analysis -- Clustering -- Proclude • Genetic GAM Geographical Analysis Machine (GAM) • Openshaw's GAM • Case point-centered searching (proposed by Besag and Newell) • Randomized GAM (proposed by Fotheringham and Zhan)

  15. Integrating Proclude and the GeoViz Toolkit • Clicking on clusters selects them in the rest of the GeoViz Toolkit • Selections in the rest of the GeoViz Toolkit will have clustering measures provided (based on the Observed/Expected ratio)

  16. Integrating Proclude and the GeoViz Toolkit -- Demo

  17. Spatial Analysis – Spatial Structure – Monte Carlo Moran’s I

  18. The Future • Improved IO • Save to and restore from internet • Accept WMS Sources • Accept PostGIS sources • Better local data export • Better support for categorical and text data • H1N1 data from Rhiza Labs • More spatial analysis methods

  19. Acknowledgements • Other Developers at Penn State GeoVISTA Center and elsewhere • NSF • NCI Grant • NEVAC (North-East Visualization & Analytics Center)

  20. If you like this stuff • Use the software with your data • Examine and adapt the source code • Contact us if you need help getting set up – we have some external funding for disease surveillance work from DHS

  21. Thank you! • We are looking for collaborators! • Contact me at hardisty@psu.edu • Visit the GeoVISTA Center Websitehttp://www.geovista.psu.edu/

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