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What is GIS ?

What is GIS ?. A method to visualize, manipulate, analyze, and display spatial data “Smart Maps” linking a database to the map. Database “ Not Easy to Interpret”. Visualization “Worth a Thousand Words”. Two Ways to Input and Visualize Data The World in GIS. Raster – Grid “pixels”

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What is GIS ?

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  1. What is GIS ? • A method tovisualize, manipulate, analyze, and display spatial data • “Smart Maps”linking a database to the map

  2. Database“Not Easy to Interpret”

  3. Visualization “Worth a Thousand Words”

  4. Two Ways to Input and Visualize DataThe World in GIS • Raster–Grid • “pixels” • a location and value • Satellite images and aerial photos are already in this format • Vector–Linear • Points, lines & polygons • “Features” (house, lake, etc.) • Attributes • size, type, length, etc. Real world

  5. Combining Data From Many Sources

  6. Data For GIS Applications • Digitized and Scanned Maps • purchased, donated, free (Internet) • created by user • Data Bases– Tables of data • GPS– Global Positioning System • accurate locations • Field Sampling of Attributes • Remote Sensing & Aerial Photography

  7. Five Data Layers “Alike” Features Rivers Capitals Roads States Lakes

  8. Turning Data Into Information “Spatial Analysis”– not just a map

  9. Asking A Question – Interaction

  10. Maps and Database are “Interactive”

  11. Multiple Databases can be Linked and Related

  12. Some Ways GIS is Used • Emergency Services– Fire & Police • Environmental–Monitoring & Modeling • Business– Site Location, Delivery Systems • Industry– Transportation, Communication, Mining, Pipelines, Healthcare • Government– Local, State, Federal, Military • Education– Research, Teaching Tool, Administration Wherever Spatial Data Analysis is Needed

  13. Ecosystem Management

  14. 3D Mine with Well Data

  15. Environmental MonitoringToxic Plume

  16. Combining Various Display Methods

  17. Oil Spill and Contamination

  18. Site Location and Client Distance

  19. Modeling of Future Trends

  20. Clusters and Comparison of Data

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