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.