Multi-Scale Partitions: Application to Spatial and Statistical Databases
Résumé
We study the impact of scale on data representation from
both the modelling and querying points of view. While our starting
point was geographical applications, statistical databases also
address this problem of data representation at various levels of abstraction.
From these requirements, we propose a model which allows: (i)
database querying without exact knowledge of
the data abstraction level, (ii) the computation of multiple
representations of data, one per abstraction level, and (iii) its
application to the computation of statistical summaries. The
model has been partially implemented with the DBMS
$O_{2}$¤ by means of tree-structured domains:
we give some examples which illustrate the above features.