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Spatial Statistics short course

October 18 8:00 am 5:00 pm SAST

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. Spatial statistics has important applications in South Africa, including in poverty alleviation, meteorology and climate, the environment, ecology and agriculture.

This course is presented by the University of Pretoria’s Department of Statistics. After completion of this course, delegates will be able to:

  • Analyse spatial data in R as well as theoretically
  • Compute summary spatial functions in R
  • Implement Kriging-Implement Spatial Sampling
  • Implement Spatial Sampling
  • Compare spatial data sets for similarity

The course and its practical examples will be done in R and QGIS. Delegates should have a basic knowledge of R and advanced statistics training. Completing the introduction to R provided in the software will be sufficient if R has not been used before.

$400 R6000

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