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An interoperable XML encoding for the exchange of Spatial OLAP data cube in SOA environments
miproBIS 2008 = ;
&= #13;
Etienne Dub&eac= ute; 1,2
Thierry Badard = 1
Yvan Béd= ard 1,2
&#= 13;
=
1. C= entre for Research in Geomatics
2. N= SERC Industrial Research Chair in Geospatial Databases for Decision Support
= ;
Université= Laval, Québec, Canada
3Dgeosoa-400px 3Dxmlcube
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Outline
<= span style=3D'font-size:86%'>n1. Introduction to SOLAP
¨What is Spatial OLAP (SOLAP)?
¨SOLAP data concepts
<= span style=3D'font-size:86%'>n2= . SOLAP in SOA environments
¨What is SOA?
¨SOLAP in SOA environments
¨Use case: mobile SOLAP
<= span style=3D'font-size:86%'>n3. Requirements for the XML encoding
<= span style=3D'font-size:86%'>n4= . Syntax of the XML encoding
¨CubeSchema
¨CubeMembers
¨CubeCells
<= span style=3D'font-size:86%'>n5. Conclusion
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What is Spatial OLAP (SOLAP) ?
nSOLAP extends OLAP with map displays and = spatial analysis capabilities.
n“About eighty percent of all data stored in corporate databases has a spatial component”
– Franklin, 1992
nSOLAP is “a type of software that allows rapid and e= asy navigation within spatial datab= ases and that offers man= y levels of information granularity, many themes, many epochs and many display modes= that are synchronized or not: maps, tables and diagrams”
– Rivest et al., 2005
<= span style=3D'visibility:hidden'>n
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What are the uses of SOLAP?
nImagine you are a decision maker in public = health policy…
nYou will certainly have difficulties to answer to questions like:
¨Where are the urban spots that are more sensitive to <= /span>heat waves, intense rain, flooding or droughts in a specific geographic area?
¨How many people with cardiovascular, respiratory, neurological and psychological diseases will there be in 202= 5 and 2050 in a specific geographic area?
¨How many people with low income live a= lone in a building requiring major rep= airs in a specific geographic area?=
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To answer these questions …
nY= ou can use:
¨GIS – Geographic Information Systems (e.g. ArcGIS)
n= Implies the writing of very complex SQL queries
nSometimes, a long and hard job which requires dedicated human resources
nNeed to be done anew every time data change or new analyses have to be achieved
¨Classical BI tools (OLAP clients, reporting tools)
nUnable to handle the spatial dimension of data (or only a ver= y basic support)
¨Merging GIS and BI tools (e.g. Spatial OLAP)
n= To fully exploit the spatial component
n= No need to write any SQL statements, just click away!.
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# of people with respiratory disea= ses, by sex, at a specific spatial level =
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Temporal evolution of heat waves (= for 2001, 2025 and 2050)
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