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Building an Online System for Research, Outreach, and Education of Geospatial Environmental Research

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Colorado State University. Fort Collins, Colorado. National ... NC Number of cells. Equation 8: high resolution. MH Maximum point density at high resolution ... – PowerPoint PPT presentation

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Title: Building an Online System for Research, Outreach, and Education of Geospatial Environmental Research


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
Regional
Local
National
Global
4
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
System Architecture
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