Digital mapping for the humanities and the social sciences - HIST8872
  • Overview
  • Syllabus
  • Instructions
  • Intro to R
  • Case-studies
    • The Paisley Dataset
    • 19th-c. Spanish literacy
    • The State of the Union Speeches
    • The Tudor Network of Letters
  • Other sources
  • Further readings

Syllabus

By allowing researchers to integrate spatial dimensions into their analyses, digital mapping and GIS tools ultimately enhance our understanding of the phenomenon we are studying.

This course focuses on:

  1. Creating quality maps using polygons, points or pixels
  2. Discussing Coordinate Reference Systems (CRSs)
  3. Creating your own spatial features
    1. Using existing GIS files
    2. Geo-coding
    3. Digitising your own maps: old maps or aerial / satellite images (QGIS)
  4. Implementing spatial analysis: density (heat) maps, spatial correlation
  5. Computing variables using geo-spatial information (geo-computation)
    1. Calculating distances
    2. Implementing spatial joins
    3. Computing zonal statistics

The course mostly relies on R but will also introduce QGIS.