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A Raster SOLAP for the Visualization of Crime Data Fields
Kasprzyk, Jean-Paul; Donnay, Jean-Paul
2016In Rückemann, Claus-Peter (Ed.) GEOProcessing 2016
Peer reviewed
 

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Keywords :
Data Warehouse; Kernel Density Estimation; GIS; Business Intelligence; Crime Hotspots Analysis
Abstract :
[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.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Kasprzyk, Jean-Paul  ;  Université de Liège > Département de géographie > Serv. d'étude en géographie éco. fond. et appliquée (Segefa)
Donnay, Jean-Paul ;  Université de Liège > Département de géographie > Unité de Géomatique - Cartographie et S.I.G.
Language :
English
Title :
A Raster SOLAP for the Visualization of Crime Data Fields
Alternative titles :
[fr] Un SOLAP en mode maillé pour la visualisation de données criminelles spatialement continues
Publication date :
19 April 2016
Event name :
Digital World 2016 - GEOProcessing 2016
Event organizer :
IARIA
Event place :
Venise, Italy
Event date :
du 24 avril 2016 au 28 avril 2016
Audience :
International
Main work title :
GEOProcessing 2016
Main work alternative title :
[en] GeoProcessing 2016
Editor :
Rückemann, Claus-Peter
ISBN/EAN :
978-1-61208-469-5
Pages :
109-117
Peer reviewed :
Peer reviewed
Available on ORBi :
since 01 May 2016

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