How does SOLAP help organizations to analyze their spatial data?
Quebec Ministry of Transportation Road Network Management Application
'One hour of training is enough'
A Road Network Management application helps the Quebec Ministry of Transportation to find the effects of variations in the annual average daily traffic on the average road conditions according to road functional classes and other parameters, determining if the average road conditions reach the intervention thresholds, or calculating the intervention costs according to the intervention thresholds, the functional classes and the type of physical environment. They take minutes instead of days to obtain the information, without a GIS specialist. Using a Spatial OLAP application in Environmental Health, the Quebec National Institute of Public Health typical users take 2 hours to meet their spatial analysis needs (e.g. to explore possible relations between respiratory diseases and air quality) as compared to one day of complex manipulations and calculations required by a GIS specialist also familiar with the statistical software used. Experiments with various end-users have shown that one hour of training is enough to use Spatial OLAP technology powerfully, to freely explore spatial data and to produce an infinity of meaningful maps, even for those who have never touched a GIS! For the users of Laval University Students' registration application, SOLAP offers more flexibility than pre-programmed reports from their well-known web-reporting system. This Spatial OLAP application offers a potential of 20 160* cross-tables that users can display as maps or diagrams, in a few seconds, with a few mouse clicks. * This number corresponds to the number of aggregations available in their multidimensional data.
Laval University Students’ Recruitment Application
SOLAP allows non-GIS users to become efficient very quickly. Unlike GIS users, SOLAP users do not need to know a GIS query language, GIS functions (statistical, map display), the mysteries of a database structure and the complex graphic symbology rules to produce a map. All required know-how is embedded in the Spatial OLAP technology. JMap Spatial OLAPTM 10
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