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):

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

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

- Work through sections 1-4, section 11.2, and section 9.
- Can you reproduce the variogram and kriging prediction as shown in lecture?
- 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)

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