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

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

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

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