A tight GIS-OLAP integration is also needed when one
requires a high level of interactivity between the maps and the tables or charts, a
complete synchronization between the visual variables (semiology) of maps, tables,
and charts, as well as a high level of flexibility into the display of information that
relates to places or regions which may vary in time. This is the case for maps displaying
simultaneously several dimensions and measures, for multimaps displaying
a same phenomenon for categories of members, and for the sequential display
of maps illustrating the evolution of a phenomenon over time, among others. For
example, one may want to synchronize a first set of views where drilling into one
of them triggers the others automatically (e.g., drilling on a national map of cancer
ratio for men automatically triggers a drill operation into tabular national statistics
and into a histogram), then to open a second set of views also synchronized among
themselves (e.g., for women cancer) for comparison purposes, then to create a multimap
displaying one map per year for the last 10 years (to see the evolution), then
to add pie charts on top of each region of the map to see the distribution of cancers
by category, then to synchronize with a second 10-year multimap displaying data
from the National Inventory of Industrial Pollutants, to slice and dice into the first
multimap to highlight a given type of cancers and into the second multimap to
highlight a given type of pollutant, to visually look for clusters or spatial correlations
that may take place regardless of region boundaries, to drill on a selection of
three regions to see further details as well as the municipal boundaries, to overlay
the hydrographic network and the sources for water distribution systems, to roll up
rivers and sources per watershed, to get the total length of potentially contaminated
rivers per municipality, to display and count the number of water sources per municipality
for each of the 10 years, to show the municipalities with the highest ratio
of cancers of a given type that overlay the rivers with a given type of pollutant and
which happen to have their highest ratio of the given cancer within 5 years after
this pollutant was released above a given threshold, to rollup for the entire country
to check if this is a local or national pattern, to rollup for the last 25 years to see
if this is an event-based phenomena or a general trend for this place, and so forth.
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