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