that even if geostatistical methods are used, they are often incomplete and imperfect. In a series of three articles, I would like to introduce potential non-mathematicians to the most important methods and tools from the arsenal of spatial statistics and how to use them properly. I will indicate the areas where they can be used, explain whether they can always be used, show what decisions should be made during calculations and how to interpret the obtained results. It will not be a compendium, but rather a pocket guide facilitating the reader ’s first contact with geostatistics. In the third article of my series, I will present the kriging procedure - an interpolation method based on geostatistical assumptions. I will list the most important activities and decisions that need to be made when using this method. Creating a model using the kriging method is the basic goal of using geostatistical methods, so in this article I will make extensive use of the content I presented earlier, from interpolation through autocorrelations to the variogram. The latter serves as an important tool in kriging. Using the example of a lignite deposit model, I will show how to interpret the model and the model credibility map.