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Marrying Spatialization and Traditional Cartography

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Marrying Spatialization and Traditional Cartography. Geography 200B. March 12, 2003 ... Compare Spatialized Results with Cartographic Visualizations. Raw Data. UNAIDS ... – PowerPoint PPT presentation

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Title: Marrying Spatialization and Traditional Cartography


1
Marrying Spatialization and Traditional
Cartography
  • Geography 200B
  • March 12, 2003
  • Presented by Kirk Goldsberry

2
Introduction
  • Seek Patterns or Clusters in UN AIDS data
  • Using Multi-Dimensional Scaling and Choropleth
    Maps
  • Analyze results using GIS
  • Compare Spatialized Results with Cartographic
    Visualizations

3
Raw Data
  • UNAIDS
  • Global Report of June 2000
  • Country Wide Data
  • Includes about 60 attributes
  • Record and Attribute Reduction

4
Getting ready for MDS
  • For Each Attribute (8)
  • Rank Countries 1 through 38
  • Rankings based on Desirability
  • For example lowest number of deaths rank 1,
    highest number of deaths 38
  • Sum Rankings total score

5
MDS Coordinates
  • Join X,Y,Z Coordinates With Existing dbf
    containing refined spatial data
  • Created a 3d theme in ArcView using the MDS
    Coordinates
  • Allowed Comparisons of Spatializations and more
    traditional Maps

6
2 kinds of Visualization
  • 3 Dimensional MDS sourced space
  • Traditional Cartographic Maps
  • Choropleth
  • Proportional Symbol
  • Combinations

7
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9
Evaluate Cooperation
  • Goal was to investigate the cooperation of these
    two visualizations
  • Agreements
  • Disagreements
  • Does the marriage promote knowledge discovery?

10
Evaluate Cooperation
  • Another Goal was to search for and define
    patterns exposed by the MDS
  • Does Toblers First Law apply to this artificial
    space?

11
Results
  • MDS and Traditional Methods Expose Similar
    Relationships
  • MDS Exposes Strong Similarities between
    non-proximate entities

12
Inner Cluster
13
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14
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16
Conclusions
  • MDS Spatialization could serve as a functional
    partner to traditional methods
  • They work well together
  • Different Legitimate Patterns are exposed using
    both techniques

17
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