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Mapping Foundations - A gentle introduction to spatial data

Follow along and interact with the slides below if you want:

The session on will be posted to UML YouTube soon.


Key points from slides:

  • GIS: Geographic Information System, any system used to analyze, capture or work with information you would display with a map (aka geospatial data).
  • Visual Encoding: Mapping inputs to visual cues. In data visualization/ mapping, this means constructing our data to be represented by visual elements like size, colour, length and placement.
  • Inputs can be tabular, vector, or raster. These different types will have different processes that you can do with them in the software.
  • Popular GIS processes and procedures are: digitization, reconstruction, georeferencing and analysis.
  • Before starting project it is good to step back and consider:
    • your message
    • your audience
    • your data (requirements + structure)
  • Visualization tools that Libraries support can be found linked from the data visualization subject guide.