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III' Geovisualization Tools Development

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Combining statistical clustering algorithms with new visualization tools ... Data: Pickle & Su, American Journal of Preventive Medicine, 2002 ... – PowerPoint PPT presentation

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Title: III' Geovisualization Tools Development


1
III. Geovisualization Tools Development
IV. Communication of georeferenced statistics
Weighted Nonparametric Smoothing (Headbanging)
  • Tools implemented as ArcGIS Extensions
  • Headbang smoothing
  • Color choices (ColorBrewer.org)
  • Utility to format SEERStat data for mapping
  • SaTScan clustering

A. State Cancer Profiles (statecancerprofiles.can
cer.gov)
Proportion of residents with no health
insurance CDC Behavioral Risk Factor Surveillance
System
Goal Focus cancer control efforts on places
and persons who can most benefit. Audience
Health planners, policy makers, and advocates.
Approach Use interactive data visualization
tools to explore the U.S. cancer burden.
Original data
Smoothed data
Example Linked Micromap Plots (LMPlots) go from
Paper to the Web
Design Evolve
LMPlot Prototype for Web
Data Pickle Su, American Journal of Preventive
Medicine, 2002 Headbanging Mungiole et
al.,Statistics in Medicine, 1999
Focus Groups
Usability Testing
Review Prototype
Test Prototype
  • Conditioned choropleth maps
  • Decomposes a single choropleth map into strata
  • according to 1 or 2 other factors
  • Interactive tool users control classifications
    of
  • mapped variable (red/gray/blue) stratifiers
    by sliders
  • Linked micromap plot
  • Color links statistical graphs maps
  • Micromaps show spatial patterns
  • Supports different glyphs sorting

Quick Reports
Trend Comparisons
Integrate Deploy
Lung cancer mortality rate, white males
Interactive maps
below poverty level
current smokers
Carr, Wallin, and Carr, Statistics in Medicine
2000
Combining statistical clustering algorithms with
new visualization tools
  • Exploratory Spatio-Temporal Analysis Tool (ESTAT)
  • Time trend plots of cancer rates
  • Parallel coordinate plot of risk factors,
    confounders
  • Scatter plots, maps
  • Statistical summaries
  • Supports linking, brushing, variable option
    selection

Alan MacEachren, Penn State University
(www.geovista.psu.edu)
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