g., street address,
place name, geographic coordinates, map coordinates). Having the possibilities to
display data on maps, to compare maps of different phenomena or epochs, and to
combine maps with tables and statistical charts allows one to get more insights into
spatial datasets. Furthermore, performing fast spatio-temporal analysis, interactively
Spatial Online Analytical Processing (SOLAP) 2
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exploring the data by drilling on maps similarly to drilling on tables and charts,
and easily synchronizing such operations among these views is nowadays required
by more and more users. This can be done by combining geographical information
systems (GIS) with online analytical processing (OLAP), paving the way to ???SOLAP???
(spatial OLAP). The present chapter focuses on the spatial characteristics of
SOLAP from a geomatics engineering point of view: concepts, architectures, tools
and remaining challenges.
Introduction
It is recognized that up to 80% of corporate data have spatial components such as
street addresses, place names, geographic coordinates, or map coordinates. This fact,
estimated by Franklin (1992), is still recognized today and it only starts to show
its potential for the masses with recent commercial advances such as Google Maps
and Google Earth.
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