This dissertation provides an interdisciplinary contribution to the
project ReGLaN-Health & Logistics. The aim of this international
cooperation is the development of a SDSS that supports decision makers
working within health systems with a special focus on rural areas. In
this dissertation, one important component (SPATTB) is proposed and
described in detail. For the development the manageability of the type
of data exemplarily given by (x, y, o) with coordinates (x, y) and
Ozon-concentration o is not sufficient. It is described, that the
manageable data has to be extended to data of type (x, y, f), where f is
not only a numerical value but a functional description of a certain
phenomenom. In this coherence certain mappings, so-called fuzzy-sets,
are regarded. These mappings will be used with respect to additional
geocoded data. The knowledge about the geocoded mapping information only
at a finite set of locations (x, y) associated with mapping information
f is not sufficient in applications that need continuous statements.
Methods from the field of computer geometry and CAD, so-called
Bezier-methods, are used for interpolating this geocoded mapping inform