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Introduction to GIS

Introduction to GIS. fGRG360G – Summer 2002. Geographic Information System. Text Computer system GIS software Brainware Infrastructure Ray Hardware Software Spatial Data People. GIS Vendors. See the link on the class page Environmental Systems Research Institute is number one

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Introduction to GIS

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  1. Introduction to GIS fGRG360G – Summer 2002

  2. Geographic Information System • Text • Computer system • GIS software • Brainware • Infrastructure • Ray • Hardware • Software • Spatial Data • People

  3. GIS Vendors • See the link on the class page • Environmental Systems Research Institute is number one • Intergraph is number two • Many more than this link list.

  4. Why GIS? • What do you think? • Ideas? • Advantages over paper maps?

  5. Geographically Referenced Data • Spatial data • Attribute data • Coordinate system • Map projection • Discrete Features • Continuous Features • Vector model • Raster model

  6. Topology • Topology vs topgraphy • ArcView – shapefile, no topology • Arc/Info – coverage, topology • Triangulated irregular network (TIN) • Region • Dynamic segmentation • Object-oriented

  7. Attribute Data • Georelational model • Relational database • Join and link • Object-oriented

  8. GIS Operations • Spatial data input • Attribute data management • Data display • Data exploration • Data analysis • GIS modeling

  9. Spatial Data Input • Data entry • How? • Buy or make • Digitize • Edit • Raster or vector • Coordinate System • Projection • Geometric transformation

  10. Attribute Data Management • Data entry and verification • Database management • Accuracy • Standards

  11. Data Display • Maps • Charts • Tables

  12. Data Exploration • Attribute data query • Spatial data query • Geographic visualization

  13. Data Analysis • Vector data analysis • Buffering, overlay, distance measures, map manipulation • Raster data analysis • Local, neighborhood, zonal, global • Terrain mapping and analysis • Spatial interpolation • Global and local • Regions-based analysis • Network analysis

  14. GIS Modeling • Binary models (simple criteria fit) • Index models (ranked index) • Regression models (dependent vs independent variables) • Process models (real world)

  15. Questions? • Don’t forget review questions. • Check out the new glossary terms.

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