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GIS in Education & Data Access

This workshop explores the promise of GIS in education, engaging students in real scientific inquiry through data visualization, analysis, and communication. Suitable software, My World GIS, is introduced as an accessible tool that supports learning and teaching in educational settings.

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GIS in Education & Data Access

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Presentation Transcript

  1. GIS in Education&Data Access Visualizations, Models and OnLine Data Workshop Amherst, MA February 10-12, 2008 David Smith, GLOBE Program Office Boulder, Colorado

  2. What’s the Big Deal About GIS? • The promise of GIS for education: • Engage students in real scientific inquiry that will enable them to: • learn science • learn scientific practices • Three important scientific inquiry practices supported by GIS: • Visualization • Data Analysis • Communication

  3. 1. Data Visualization • Geographic (spatial) representation of geographic phenomena • Interactive • Dynamic • Customizable

  4. 2. Data Analysis • By relational and spatial queries • Earthquakes deeper than 100 km • Earthquakes within 10 km of a fault • By spatial operations • Define a 50m buffer on either side of a stream • By quantitative operations • Difference between July 1982 sea surface temp and average july • By computational modeling • Compute downhill path for runoff from point A

  5. 3. Communication • Generate representations to use as evidence to support a finding or argument

  6. Software Suitable for Education: My World GIS • GIS software designed specifically for educational use: • Accessible to novice users (students and teachers) • Supports learning • Supports teaching • Compatible with practical constraints of educational settings • Developed by the GEODE Initiative at Northwestern University

  7. 1. Accessible to novice users (students and teachers) • Automated data cataloguing

  8. 2. Supports learning • Scaffolded operations

  9. 3. Supports teaching • Integration with curriculum materials • Pre-constructed project files with embedded multimedia materials, instructions

  10. 4. Access OnLine Data Demonstration • Accessing THREDDS Libraries

  11. 4. Access OnLine Data Demonstration • SST Data Anomaly Detection

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