Online Course in Spatial Statistics

  • When 04 Oct, 2021 11:00 AM to 15 Nov, 2021 12:00 PM (Africa/Johannesburg / UTC200)
  • Where Online
  • Contact Name
  • Contact Phone +27 (0)12 434 2500 | Fax: +27 (0)12 434 2505
  • Web Visit external website
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Spatial statistics is established worldwide due to the seminal work of Danie Krige, a pioneer who worked in mining studies at Wits. Its importance to the South African research community goes as wide as poverty alleviation, meteorology and climate, the environment, ecology and agriculture.


To analyse spatially allows the statistician to incorporate the spatial correlation present in many datasets, without which model interpretation may be incorrect. There is a wealth of knowledge on spatial statistics within South Africa, however, the research field of spatial statistics is still relatively young and relative expert guidance is required to build the field in terms of research as well as training. Spatial statistics has very important applications in the South African context. There is a definite need to have trained spatial statisticians across industry and academia.


The online course covers the following topics and practical examples will be done in R and QGIS software applications:

  • The Need for Spatial Analysis
  • Types of Spatial Data
  • Autocorrelation-Concept and Elementary Measures
  • Autocorrelation Functions
  • The Effects of Autocorrelation on Statistical Inference; Random, Aggregated, and Regular Patterns
  • Binomial and Poisson Processes
  • Testing for Complete Spatial Randomness
  • Second-Order Properties of Point Patterns
  • The Inhomogeneous Poisson Process
  • Marked and Multivariate Point Patterns
  • Point Process Models
  • Semi-variogram and Co-variogram
  • Covariance and Semi-variogram Models
  • Estimating the Semivariogram
  • Spatial Prediction and Kriging: Optimal Prediction in Random Fields
  • Linear Prediction-Simple and Ordinary Kriging
  • Linear Prediction with a Spatially Varying Mean
  • Kriging in Practice
  • Estimating Covariance Parameters
  • Model- and Design-based spatial sampling
  • Testing for similarity of spatial data sets.


Book your seat now, and allow our University of Pretoria’s experts to help you Sharpen your statistics skills.





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