The transformation of area aggregates between non-hierarchical area systems is
a standard problem of official statistics. We introduce a new method which is
based on kernel density estimates. It is a modification of the SEM algorithm
proposed by Gross et al. (2016), which was used for the transformation of
totals on rectangular areas to kernel densities estimates. As a by-product of
the routine one obtains simulated geo-coordinates for each unit. With the help
of these geo-coordinates it is possible to calculate case numbers for a new
area system. The method is applied to student resident figures from Berlin.
These are known only at the level of ZIP codes but they are needed for
administrative planning districts. Our method is evaluated on a similar,
simulated data set with known exact geo-coordinates. In the empirical part
results for changes in the student residential areas between 2005 and 2015 are
presented. It is demonstrated that the transformation via kernel density
estimates offers additional useful features to display concentration areas
