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Multi-Focused Geospatial Analysis Using Probes

Multi-Focused Geospatial Analysis Using Probes. Traditionally, geospatial visualizations have only a single perspective. When you zoom out for an overview…. Local anomalies become suppressed. When you zoom in to see details…. You lose spatial awareness (“the overall picture”).

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Multi-Focused Geospatial Analysis Using Probes

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  1. Multi-Focused Geospatial Analysis Using Probes

  2. Traditionally, geospatial visualizations have only a single perspective

  3. When you zoom out for an overview… Local anomalies become suppressed

  4. When you zoom in to see details… You lose spatial awareness (“the overall picture”)

  5. What is a Probe? Pair consisting of: - Region-of-Interest - Coordinated Visualization & Some visual connection Rendered directly within the main visualization Can be directly interacted with

  6. Applications To show the benefits of using probes… three existing applications are extended: - LIDAR Change Detection (3D GIS) • Census Data Exploration Tool • Agent-Based Social Simulation

  7. LIDAR Change Detection, Before

  8. LIDAR Change Detection, After

  9. Spatial Awareness • Examine from afar • Multiple Foci • - Preserve relationships

  10. UrbanVis, Before

  11. UrbanVis, Before

  12. UrbanVis, After

  13. UrbanVis, After

  14. Mutli-Focus Comparison • Interaction with multiple ROIs • Clear relationships • - Annotation: • - InfoVis panels  glyphs

  15. Social Simulation • “Hearts & Minds” of Afghanistan population • Test Social Theories • Agent-Based • Single Perspective: Visualization & Controls

  16. “Interface on Demand”

  17. Multiple instances encouraged

  18. Creating a Probe Region-of-Interest: Uniform: Focal Point + Extent (Radius) Non-uniform: Manual selection (painting)

  19. Expandable Probe Interfaces

  20. Direct Comparison

  21. Local Control and Local Inspection on different ROIs

  22. Complex inter-map and inter-region relationships possible

  23. Collaborative Environment

  24. Benefits • No loss of original functionality • View Independence • Zoomless Inspection  Less navigation • Preserves global view • Context awareness • Simultaneous comparison of distant regions

  25. Benefits • Multi-Focus Inspection • Unlimited, dynamic regions-of-interest • Wide range of inspections possible at once • Direct and indirect comparison • Less cognitive memory required • Avoids change-blindness • Faster comparison

  26. Benefits • Location-specific Manipulation • Extends global controls to local regions • More precise interaction • No limits to scale of adjustments or controls • Collaboration is facilitated

  27. Caveats • Modifiable Areal Unit Problem (MAUP) • Variations in how areas are delineated can cause misleading comparisons • Stems from user definable ROIs • Add helpers to region creation? • e.g. Population scale

  28. Caveats • Scalability • If an existing coordinated visualization requires a significant percentage of CPU time… • Multiple instances will slow application down

  29. Caveats • Control of Overlapping Regions • Conflicts and Collisions • Ambiguous problem • Domain specific solutions A ? B

  30. Conclusions • Probes… • Replace or supplement single perspectives • Extend geospatial visualizations with… • View Independence • Multi-Focus Inspection • Location-Specific Control • Could be applied to more abstract spatial data • Remove interface clutter • Facilitate collaboration

  31. Questions? tbutkie@gmail.com http://www.viscenter.uncc.edu/

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