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

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Presentation transcript:

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 Regional NationalGlobal Local

Data Management Challenges LatLonTempPrecip Example : Potential habitat distribution of invasive plant dalmation toadflax (Linaria dalmatica) in Colorado, USA Hierarchical Vector data Precipitation Temperature Modeling Algorithm VariableCoefficientP-Value Intercept Annual Precip Annual Temp Map Generation Model-Specific Data Geo Referenced Rasters Spreadsheets Geo Referenced Rasters

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

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

Points, Polylines, Polygons

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

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

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

MZ – Maximum point density

Topology

Rendering from Grid Cells

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 Maximum Rendering Times

Limiting Data Quantity

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

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

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