These solutions present limitations with regard to interactive data manipulation
and exploration through cartographic views. However, the main bottleneck
still remains the building of spatial datacubes, especially when data come from
different sources.
SOLAP. Concepts
Spatial OLAP (SOLAP) can be defined as a type of software that allows rapid and
easy navigation within spatial databases and that offers many levels of information
granularity, many themes, many epochs, and many display modes synchronized
or not: maps, tables, and diagrams. The key to SOLAP concepts is multiresolution
spatial databases or data warehouses. Of particular interest is the 4-tier architecture
for spatial data warehousing. The first tier represents the first data warehouse where
integrated, homogeneous detailed data are stored. This first tier is very useful since
the integration of spatial data from heterogeneous sources can be done automatically
only for the simplest cases, that is, rarely. Current ETL technology does not
handle spatial data while ???spatial data integrators??? and ???interoperability standards???
were not developed to support the aggregation of spatial data or the matching of
map objects from different map scales. The second tier represents a second data
warehouse where the results of the aggregation processes are stored. Since automatic
Spatial Online Analytical Processing (SOLAP) 0
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