Reference : A Raster SOLAP for the Visualization of Crime Data Fields
Scientific congresses and symposiums : Paper published in a book
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
A Raster SOLAP for the Visualization of Crime Data Fields
[fr] Un SOLAP en mode maillé pour la visualisation de données criminelles spatialement continues
Kasprzyk, Jean-Paul mailto [Université de Liège > Département de géographie > Serv. d'étude en géographie éco. fond. et appliquée (Segefa) >]
Donnay, Jean-Paul mailto [Université de Liège > Département de géographie > Unité de Géomatique - Cartographie et S.I.G. >]
GEOProcessing 2016
[en] GeoProcessing 2016
Rückemann, Claus-Peter
Digital World 2016 - GEOProcessing 2016
du 24 avril 2016 au 28 avril 2016
[en] Data Warehouse ; Kernel Density Estimation ; GIS ; Business Intelligence ; Crime Hotspots Analysis
[en] In order to effectively extract synthetic information
from large spatial data sets, Spatial OnLine Analytical
Processing (SOLAP) combines Geographic Information
Systems (GIS) with Business Intelligence (BI) to query data
warehouses through interactive vector maps. On the other
hand, crime strategical analysis is usually based on raster maps
computed by Kernel Density Estimation (KDE), then
independent of any artificial boundary. This paper introduces
an alternative vision of SOLAP which uses the raster model
(instead of the vector one) in order to integrate crime data
fields computed by KDE. It allows a continuous visualization of
spatial data which, until now, has not been compatible with
other SOLAP tools. The original geo-model is validated by a
prototype adapted to the police needs.
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