This page houses extra information related to the lecture given on 29th May 2017.

A pdf of the lecture can be found here: Lecture May 29th 2017

Tutorials:

How to install R, gstat and to study variograms and kriging can be found in these two short courses –

Geostatistics short course exercises with gstat and R -> webpage from D G Rossiter, Cornell University

Geostatistics gstat R tutorial -> webpage from R project tutorial (Pebesma, 2017)

Worksheets:

Kriging example in excel (Grade_body_excel_worksheet):

  1. Calculate grade values at different locations in the dataset
  2. Change high and low values. What happens to the data?

Variogram and kriging example in R with gstat (relevant pages here):

  1. Work through sections 1-4, section 11.2, and section 9.
  2. Can you reproduce the variogram and kriging prediction as shown in lecture?
  3. Can you change the settings for kriging map? What happens?

Extra material related to the lecture can be found here:

History of Geostatistics ppt -> webpage from Prof Myers

Variogram Tutorial -> webpage from Golden Software

Basics of Variogram -> webpage from MINES ParisTech

Tutorial guide to variograms and kriging -> webpage to a paper by Oliver and Webster (2014)

Kriging in astronomy -> webpage from Laboratoire d’Astrophysique de l’EPFL, Switzerland

Spatial Model Notes -> webpage from Harvard University

The Future of Geostatistics – MPS -> webpage to Review paper by Mariethoz and Lefebvre (2014)