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The goal of this work is to provide and explain a way from a printed map to a fitted background map of a spatial dataset. The variables in this dataset can be from any field of interest, but there have to be two dimensional coordinates for each observation. One of several implemented transformation types has to be chosen now. Furthermore we have to identify reference points on the map and select reference points from the data. which later should have approximately the same coordinates and are used for estimating the transformation parameters. The process of fitting the background map is supposed to be iterative, so that in each step new reference points could be added or wrong reference points could be deleted. The presented source code is available in the R package DASplusR.