The tutorial "Geostatistics -- An Introduction" is meant to motivate further dealing with the issue. After explaining the specialty of spatial statistics a first completely regular data set is considered. Here ESRI's ArcGIS GeospatialAnalyst is used and demonstrated as one of several tools of analysis.

While descriptive statistics foundations are simple and clear an important and somehow strange issue will be the spatial self-similarity of measured quantities or expressively correlation. A second data set consisting of several irregularly and differently distributed quantities points out some important questions of estimation. Such questions deal with representative mean values or distributions. The estimation of point values (interpolation) or larger block values follows. The kriging method for interpolation is addressed.

A final view is laid upon the theory of cokriging where unmeasured quantities are derived from measured ones. The tutorial is also preparatory for the workshop "R for geospatial analysis".