Ordinary Kriging, OK, and Regression Kriging, RK, are the spatial statistical methods that are possible to
estimate a horizontal distribution in a study area from discrete data. OK is the method which takes account of
only spatial auto-correlation structure of the data, while RK is the method which takes account of an interrelationship
between spatial auto-correlation structure and some auxiliary variables to minimize the estimation error.
Analytical processing for OK and RK methods was performed by the R-Language (R Core Team, 2012)
and its some additional libraries. The auxiliary variables required to perform RK method were prepared by a
GIS application, Quantum GIS (Quantum GIS Development Team, 2012). The 3-dimensional geographic representation
of the estimation maps was performed by the Google Earth (Google, 2012).
In this report, OK and RK methods were applied to one of the Earth scientific information, SPM (Supended
Particulate Matter). Then, these methods were considered by comparing two estimation maps, and finally
considered qualitatively by displaying these maps in the Google Earth.