Computational Methods for Social Data Science
Computational Methods for Social Data Science
  • Syllabus
  • Schedule
  • Reading
  • Class
  • Homework
  • Useful
Overview
  • Reading for sessions
Reading
  • 1: Introduction
  • 2: Data Fundamentals
  • 3: Visualization Fundamentals
  • 4: Exploratory data analysis
  • 5: Exploring spatial networks
  • 6: Model building 1
  • 7: Model building 2
  • 8: Uncertainty analysis
  • 9: Communication and storytelling

Exploring spatial networks

Materials from class on Friday, August 12, 2022

Network data in R

  • H. Wickham, D. Navarro, and T. Lin Pedersen, Ggplot2: Elegant Graphics for Data Analysis (Springer, 2020). – Chapter 7.
    Free online.

Visualizing origin-destination data

  • J. Wood, A. Slingsby, and J. Dykes, “Visualizing the Dynamics of London’s Bicycle-Hire Scheme,” Cartographica: The International Journal for Geographic Information and Geovisualization no. 4 (2011): 239–251.

Thu, 21 Apr 2022


ESS 2022 | 3D: Computational Methods for Social Data Science (August 2022)
University of Essex    Essex Summer School

Roger Beecham    r.j.beecham@leeds.ac.uk

Mon - Fri    1000 - 1330 BST
Colchester Campus

All content licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Content 2022 Roger Beecham

View the source at GitHub.