g., using multidimensional
stereotypes in UML along with existing spatial and temporal
stereotypes)
??? Developing a SOLAP design method that helps users to discover earlier what
they can do with SOLAP and how they can change their way of exploring
their spatial data.
??? Developing new graphical semiology rules simultaneously compatible with
maps, charts, and tables to better support the cognitive process involved during
the exploration of data
??? Enriching the integrity constraints for combined spatial-temporal-aggregative
constraints
??? Developing methods that help to select the best sources and processes to feed
the spatial datacube: In contrast to nonspatial datacubes, spatial data at the most
aggregated levels do not necessarily come from the detailed maps. Moreover,
there exist several potential sources of maps that are highly heterogeneous.
Typically, every source of spatial data requires important work to make it
fit the needs of the users. Considering the time and budget constraints along
with the quality requirements of the users, selecting the best combinations of
sources is a complex task that would benefit from a formal method.
??? Developing explicit ways to assess and display the estimated quality of information,
both internally (i.e., respect of data specifications) and externally
(i.e., fitness for use)
??? Improving the performance of spatial datacube building (spatiotemporal analysis,
spatial aggregation, spatiotemporal indexing, etc.
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