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Visualising indicators in thematic maps is nowadays state-of-theart and many statistical agencies and data providers support their figures also within interactive visualisation. However, mostly raw data values are presented in maps and the visualisation of statistical estimation results is rarely done and topic in this contribution. For the estimation of cross-correlations of one reference time series to other time series, we show that it is important to prewhiten the time series based on the model estimates of the reference time series. In addition, a simple weighting of time series to increase the importance of recent years over values from the very past is proposed. Finally, an application of our implemented visualisation tool using European alcohol consumption statistics is shown.