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Geostatistical mapping can be defined as analytical production of maps by using field observations, auxiliary information and a computer program that calculates values at locations of interest. Today, increasingly the heart of a mapping project is, in fact, the computer program that implements some (geo)statistical algorithm to a given point data set. Purpose of this guide is to assist you in producing quality maps by using fully-operational tools, without a need for serious additional investments. It will first introduce you the to the basic principles of geostatistical mapping and regression-kriging, as the key prediction technique, then it will guide you through four software packages: ILWIS GIS, R+gstat, SAGA GIS and Google Earth, which will be used to prepare the data, run analysis and make final layouts. These materials have been used for the five-days advanced training course “Hands-on-geostatistics: merging GIS and spatial statistics”, that is regularly organized by the author and collaborators. Visit the course website to obtain a copy of the datasets used in this exercise.