SA-TIED Geospatial Workshop

Welcome

Welcome to the workbook for the SA-TIED Geospatial Workshop. Over the course of this two-day introductory workshop, you will be introduced to the R programming language, learn how to map socio-economic and demographic data, and gain an understanding of the ideas behind spatial models. We will explore the following topics:

  • Fundamentals of using R for data analysis with the tidyverse library
  • Creating thematic maps using R with the tmap library
  • Quantifying the degree of spatial dependence in a dataset
  • Incorporating space into statistical models

Prerequisites

While there are no specific prerequisites for this workshop, basic familiarity with R, Python or Stata do-files is recommended. You will require a computer with admin rights to install the necessary software.

Workshop overview

The schedule of the workshop is as follows:

Day Type Time Details
1 Lecture 09h00-09h30 Lecture Notes #1
1 Software installation 09h30-09h45 R for Data Analysis
1 Computer tutorial 10h00-12h00 R for Data Analysis
1 Lecture 13h00-13h45 Lecture Notes #2
1 Computer tutorial 14h00-16h00 R for Spatial Analysis
2 Lecture 09h00-09h45 Lecture Notes #3
2 Computer tutorial 10h00-12h00 Spatial Autocorrelation
2 Lecture 13h00-13h45 Lecture Notes #4
2 Computer tutorial 14h00-16h00 Spatial Models

Acknowledgements

This workbook is created using the Quarto publishing system. Elements of this workbook are partially partially based on and modified from:

The workbooks contains data sourced from the 2011 South African Census of Population:

  • Statistics South Africa. South African Census Community Profiles 2011 [dataset]. Version 1. Pretoria: Statistics SA [producer], 2014. Cape Town: DataFirst [distributor], 2015. DOI: https://doi.org/10.25828/6n0m-7m52