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Jim Graham Colorado State University Fort Collins, Colorado

Building an Online System for Research, Outreach, and Education of Geospatial Environmental Research. Jim Graham Colorado State University Fort Collins, Colorado. National Institute of Invasive Species Science. Forecasting at Various Scales. Local. Regional. Global. National. 100. 0.

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Jim Graham Colorado State University Fort Collins, Colorado

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  1. Building an Online System for Research, Outreach, and Education of Geospatial Environmental Research Jim Graham Colorado State University Fort Collins, Colorado

  2. National Institute of Invasive Species Science

  3. Forecasting at Various Scales Local Regional Global National

  4. 100 0 Data Management Challenges Spreadsheets Hierarchical Vector data Geo Referenced Rasters Temperature Precipitation Modeling Algorithm Model-Specific Data Geo Referenced Rasters Map Generation Example: Potential habitat distribution of invasive plant dalmation toadflax (Linaria dalmatica) in Colorado, USA

  5. General Imaging Issues • Resolution and coverage of available data • Acquisition costs • Hardware and software performance • Data quality • File Format Compatibility

  6. Goals • Create an online system for geospatial-ecological science • End-users: researchers, resource managers, teachers, and the public • End-Users can add spatial data • Vector data (text and Shapefiles) • Raster data

  7. Points, Polylines, Polygons

  8. Vector Data • A few very large, complex shapes • National parks • Countries • States • Lots of small, simple shapes • Individual surveys • Observation points • Some regions have very high densities of spatial coordinates

  9. P – Projection time per coordinate • L – Loading time per coordinate • R – Rendering time per coordinate • N – Number of coordinates

  10. Approaches • Access only data within viewing area • 4 – Maintain All Required Projections • Geographic • 3 UTM Zones • All are WGS84 • Optimal use of an indexed, relational, enterprise-level database

  11. MZ – Maximum point density

  12. Topology

  13. Rendering from Grid Cells

  14. Maximum Rendering Times • Equation 7: low resolution • NC – Number of cells • Equation 8: high resolution • MH – Maximum point density at high resolution • Q1 = maximum time to access indexed data in the database

  15. Limiting Data Quantity

  16. www.NIISS.org

  17. Field Data Collection The Past The Future + Manual entry + Automatic upload

  18. Acknowledgements: www.NIISS.org • NIISS: Tom Stohlgren, Mohammed Kalkhan, Greg Newman, Alycia Crall, Catherine Jarnevich, Tracey Davern, Paul Evangelista, Sunil Kumar, Sara Simonson • NSF Grant #OCI-0636210 • Volunteer Groups

  19. Internet Client Server Database Browser Web Server HTML Pages PHP Pages Spatial Library Raster Layers Images Images Multi- Processor Plug-in Data Server Job Controller Jobs System Architecture

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