Section: Application Domains
On-demand Geographical Maps
Participant : Jean-Marc Vincent.
This joint work involves the UMR 8504 Géographie-Cité, LIG, UMS RIATE and the Maisons de l'Homme et de la Société.
Improvements in the Web developments have opened new perspectives in interactive cartography. Nevertheless existing architectures have some problems to perform spatial analysis methods that require complex computations over large data sets. Such a situation involves some limitations in the query capabilities and analysis methods proposed to users. The HyperCarte consortium with LIG, Géographie-cité and UMR RIATE proposes innovative solutions to these problems. Our approach deals with various areas such as spatio-temporal modeling, parallel computing and cartographic visualization that are related to spatial organizations of social phenomena.
Nowadays, analyses are done on huge heterogeneous data set. For example, demographic data sets at nuts 5 level, represent more than 100.000 territorial units with 40 social attributes. Many algorithms of spatial analysis, in particular potential analysis are quadratic in the size of the data set. Then adapted methods are needed to provide “user real time” analysis tools.