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Issue No.05 - May (2012 vol.18)
pp: 675-688
G. Adrienko , Fraunhofer Inst. for Intell. Anal. & Inf. Syst. (IAIS), St. Augustin, Germany
N. Adrienko , Fraunhofer Inst. for Intell. Anal. & Inf. Syst. (IAIS), St. Augustin, Germany
M. Mladenov , Fraunhofer Inst. for Intell. Anal. & Inf. Syst. (IAIS), St. Augustin, Germany
M. Mock , Fraunhofer Inst. for Intell. Anal. & Inf. Syst. (IAIS), St. Augustin, Germany
C. Politz , Fraunhofer Inst. for Intell. Anal. & Inf. Syst. (IAIS), St. Augustin, Germany
Events that happened in the past are important for understanding the ongoing processes, predicting future developments, and making informed decisions. Important and/or interesting events tend to attract many people. Some people leave traces of their attendance in the form of computer-processable data, such as records in the databases of mobile phone operators or photos on photo sharing web sites. We developed a suite of visual analytics methods for reconstructing past events from these activity traces. Our tools combine geocomputations, interactive geovisualizations, and statistical methods to enable integrated analysis of the spatial, temporal, and thematic components of the data, including numeric attributes and texts. We also support interactive investigation of the sensitivity of the analysis results to the parameters used in the computations. For this purpose, statistical summaries of computation results obtained with different combinations of parameter values are visualized in a way facilitating comparisons. We demonstrate the utility of our approach on two large real data sets, mobile phone calls in Milano during 9 days and flickr photos made on British Isles during 5 years.
statistical analysis, data visualisation, geography, history, mobile computing, past event reconstruction, place history identification, activity traces, eye, computer-processable data, database, mobile phone operator, photo sharing Web sites, visual analytics method, geocomputation, interactive geovisualization, statistical method, spatial component, temporal component, thematic component, interactive investigation, statistical summary, Flickr photos, Time series analysis, History, Visual analytics, Area measurement, Databases, Data visualization, scale effect., Keywords—Event detection, spatiotemporal data, time series analysis, scalable visualization, geovisualization, visual analytics, sensitivity analysis
G. Adrienko, N. Adrienko, M. Mladenov, M. Mock, C. Politz, "Identifying Place Histories from Activity Traces with an Eye to Parameter Impact", IEEE Transactions on Visualization & Computer Graphics, vol.18, no. 5, pp. 675-688, May 2012, doi:10.1109/TVCG.2011.153
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