Exploratory cartographic visualization: advancing the agenda
Computers & Geosciences - Special issue on exploratory cartographic visualization
Exploratory spatio-temporal data mining and visualization
Journal of Visual Languages and Computing
Adaptive loops with kaapi on multicore and grid: applications in symmetric cryptography
Proceedings of the 2007 international workshop on Parallel symbolic computation
Processor-Oblivious Parallel Stream Computations
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
GeWOlap: a web based spatial OLAP proposal
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Towards a model for the multidimensional analysis of field data
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Transferring indicators into different partitions of geographic space
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part I
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This paper presents a new cartographic tool for spatial analysis of social data, using the potential smoothing method [10]. The purpose of this method is to view the spread of a phenomenon (demographic, economical, social, etc.) in a continuous way, at a macroscopic scale, from data sampled on administrative areas. We aim to offer an interactive tool, accessible through the Web, but ensuring the confidentiality of data. The biggest difficulty is induced by the high complexity of the calculus, dealing with a great amount of data. A distributed architecture is proposed: map computation is made on server-side, using particular optimization techniques, whereas map visualization and parameterisation of the analysis are done with a web-based client, the two parts communicating through a Web protocol.