Marrying Spatialization and Traditional Cartography Geography 200B March 12, 2003 Presented by Kirk Goldsberry
Marrying Spatialization and
Traditional Cartography
Marrying Spatialization and
Traditional Cartography
Geography 200B
March 12, 2003Presented by Kirk Goldsberry
Introduction
• Seek Patterns or Clusters in Seek Patterns or Clusters in UN AIDS dataUN AIDS data
• Using Multi-Dimensional Using Multi-Dimensional Scaling and Choropleth MapsScaling and Choropleth Maps
• Analyze results using GISAnalyze results using GIS• Compare Spatialized Results Compare Spatialized Results with Cartographic with Cartographic VisualizationsVisualizations
Raw Data
• UNAIDS• Global Report of June 2000• Country Wide Data• Includes about 60 attributes• Record and Attribute Reduction
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
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
2 kinds of Visualization
• 3 Dimensional MDS sourced space
• Traditional Cartographic Maps– Choropleth– Proportional Symbol– Combinations
Evaluate Cooperation
• Goal was to investigate the cooperation of these two visualizations– Agreements– Disagreements– Does the marriage promote knowledge discovery?
Evaluate Cooperation
• Another Goal was to search for and define patterns exposed by the MDS
– Does Tobler’s First Law apply to this artificial space?
Results
• MDS and Traditional Methods Expose Similar Relationships
• MDS Exposes Strong Similarities between non-proximate entities
Inner Cluster
Conclusions
• MDS Spatialization could serve as a functional partner to traditional methods
• They work well together• Different Legitimate Patterns are exposed using both techniques
Questions or Comments