The preceding pages
have shown that positioning objects in space is more complex than it appears, creating
unexpected problems when one develops more advanced SOLAP applications.
Time shows similar problems but to a much lower level of difficulty since it can be
perceived as a one-dimensional universe with 0D (instant) and 1D (interval) events,
as compared to the 3D spatial universe having 0D (point), 1D (line), 2D (surface),
and 3D (volume) objects. From a computer science point of view, recent technical
developments have reduced the need to maintain distinctions between spatial
data and other data (Longley, Goodchild, Maguire, & Rhind, 1999). Nevertheless,
Spatial Online Analytical Processing (SOLAP) 0
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special care must always be taken when processing data from different maps and
positioning technologies (e.g., GPS) as typically is the case when we build spatial
data warehouses and spatial datacubes.
Evolution.of.SOLAP
In spite of a decade of research, testing, and experiments, it is only recently that
SOLAP applications have been implemented into organizations for their daily
decision making. Examples in very diverse fields exist in Canada, France, United
States, and Portugal in particular.
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