Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
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”) 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 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 LIDAR Change Detection, Before LIDAR Change Detection, After Spatial Awareness - Examine from afar - Multiple Foci - Preserve relationships UrbanVis, Before UrbanVis, Before UrbanVis, After UrbanVis, After Mutli-Focus Comparison - Interaction with multiple ROIs - Clear relationships - Annotation: - InfoVis panels glyphs Social Simulation • • • • “Hearts & Minds” of Afghanistan population Test Social Theories Agent-Based Single Perspective: Visualization & Controls “Interface on Demand” Multiple instances encouraged Creating a Probe Region-of-Interest: Uniform: Focal Point + Extent (Radius) Non-uniform: Manual selection (painting) Expandable Probe Interfaces Direct Comparison Local Control and Local Inspection on different ROIs Complex inter-map and inter-region relationships possible Collaborative Environment Benefits • No loss of original functionality • View Independence – Zoomless Inspection Less navigation – Preserves global view – Context awareness – Simultaneous comparison of distant regions 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 Benefits • Location-specific Manipulation – Extends global controls to local regions – More precise interaction – No limits to scale of adjustments or controls – Collaboration is facilitated 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 Caveats • Scalability – If an existing coordinated visualization requires a significant percentage of CPU time… – Multiple instances will slow application down Caveats • Control of Overlapping Regions – Conflicts and Collisions – Ambiguous problem – Domain specific solutions A ? B 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 Questions? [email protected] http://www.viscenter.uncc.edu/