Geostatistical Methods in R

Adéla Volfová, Martin Šmejkal

Abstract


Geostatistics is a scientific field which provides methods for processing spatial data.  In our project, geostatistics is used as a tool for describing spatial continuity and making predictions of some natural phenomena. An open source statistical project called R is used for all calculations. Listeners will be provided with a brief introduction to R and its geostatistical packages and basic principles of kriging and cokriging methods. Heavy mathematical background is omitted due to its complexity. In the second part of the presentation, several examples are shown of how to make a prediction in the whole area of interest where observations were made in just a few points. Results of these methods are compared.

Keywords


geostatistics, R, kriging, cokriging, spatial prediction, spatial data analysis

References


Wackernagel, H. (2003): Multivariate Geostatistics. - 3rd edition. - Springer, Germany.

Isaaks, E. H.; Srivastava, R. M. (1989): Applied Geostatistics. - Oxford University Press, New York.

Rossiter, D. G.: Co-kriging with the gstat Package of the R Environment for Statistical Computing. - Web: http://www.itc.nl/ rossiter/teach/R/R ck.pdf.

CRAN Task View: Analysis of Spatial Data. - Web: http://cran.r-project.org/web/ views/Spatial.html.

The Comprehensive R Archive Network. - Web: http://cran.r-project.org.

Cressie, N. (1993): Statistics for spatial data. - Wiley Interscience.

Hengl, T.: A Practical Guide to Geostatistical Mapping. - 2nd edition. - Office for Official Publications of the European Communities, Luxembourg. - Web: http://spatialanalyst.net/book/.

Diggle, P. J.; Riberio, P. J. Jr. (2007): Model–based Geostatistics. - Springer.

Pilz, J. (Ed.) (2009): Interfacing Geostatistics and GIS. - Paper: Bayesian Trans-Gaussian Kriging with Log-Log Transformed Skew Data by Spöck G., Kazianka H., and Pilz J.. Springer.


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