[Pathway 3] Urban Analysis Class

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Audience: Undergraduate or graduate students in urban studies, planning, public policy, or introductory GIS
Length: 10 lessons
Goal: Build a structured pathway from conceptual foundations to data handling, cartographic literacy, and introductory GIS practice

Lessons in this pathway:

  1. Why Maps Matter (Foundations)
  2. Finding Spatial Data (Data)
  3. Vector, Raster, and Attributes (Data)
  4. Organizing Data for Maps (Data)
  5. Coordinates, Reference Systems, and Georeferencing (Data)
  6. Reading Maps Closely (Literacy)
  7. Symbols, Color, and Visual Hierarchy (Literacy)
  8. Scale, Projection, and Distortion (Literacy)
  9. First Map in QGIS (Tools)
  10. Joining Data to Geography (Tool)

This pathway follows the logic of a longer classroom sequence. It begins with foundational ideas about why maps matter, then introduces spatial data, data organization, and coordinate systems before moving into visual interpretation and basic GIS production. The sequence is especially useful for courses that want students to understand both the conceptual and technical sides of mapping.

It also lines up well with the structure of the GIS syllabus, which moves from foundational concepts, data acquisition, and data management into coordinate and projection systems, tabular mapping, map classification, layout and design, selections, joins, and later geoprocessing tasks such as buffer, clip, dissolve, and overlay.

This pathway could later be extended with additional lessons or assignments on:

  • data selection by attribute and location
  • table join and spatial join
  • buffer, clip, dissolve, and overlay
  • final project development and presentation

Those extensions would make it even closer to a semester-long GIS or urban analysis course structure.

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