Topics you should know

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Topics you know from readings & lectures

  1. Define GIS
  2. Questions answered by GIS
  3. How to do GIS analysis
  4. Components of a GIS
  5. Applications of GIS
  6. Map types
  7. Concept of scale
  8. Data models / types of data (geography & attributes)
  9. Two geographic data models in GIS (vector vs raster)
  10. Attribute data table structures
    1. Operations in a table
    2. DB query (SQL)
  11. Geoprocessing operations: Overlays (union/intercept), clip, buffer, erase, dissolve
  12. Properties of the raster model
    1. Raster operations (local, focal, zonal, global)
  13. Data creation – types of data
  14. Basic Geodesy (lat-long, geoide, ellipsoid, datum, projections, coordinate systems)
  15. Basic remote sensing
  16. GNSS

Practical skills learned using the software

  1. Adding data in ArcGIS
  2. Data symbology
  3. Layout/map production
  4. Basic ArcGIS data analysis
  5. Working with geodatabases and shapefiles
  6. Extracting/Exporting data layers
  7. Working with attribute tables (adding/deleting fields, calculating data, sorting, selecting)
    1. Attribute query (single & multiple)
    2. Summarizing tables
    3. Joining tables (attribute and spatial joins)
    4. Map algebra in vectors
  8. Spatial query (single & multiple)
  9. Multi-criteria evaluation in vectors
  10. Spatial analysis – Geoprocesing: Overlays (union, intersection, clip, erase), proximity, containment, buffers, etc.
  11. Area calculations
  12. Basic vector data creation and editing (georeferencing and digitizing).
  13. Creating a feature file with field data (XY data)
  14. Obtaining data from outside sources
  15. Data importing/exporting/preparation
  16. Working with projections and datum transformation
  17. Making cartographic models
  18. Storymaps – ArcGIS Online—ArcGIS Pro integration
  19. Open Source GIS
  20. Raster analysis
    1. Raster reclassification
    2. DB query and Map algebra / operations in raster (Overlay, Boolean algebra, map algebra, reclassification, etc.)
    3. Local/neighborhood/zonal analysis,
    4. Surface analysis: interpolation, slope, aspect

Return to Geog 323 – Pixels to landscape

Return to Resources for Learning GIS @ MHC