G. Andrienko and N. , A General Framework for Using Aggregation in Visual Exploration of Movement Data, The Cartographic Journal, vol.7, issue.1, pp.22-40, 2010.
DOI : 10.1006/ijhc.2002.1017

G. Andrienko, N. Andrienko, P. Bak, D. Keim, S. Kisilevich et al., A conceptual framework and taxonomy of techniques for analyzing movement, Journal of Visual Languages & Computing, vol.22, issue.3, pp.22213-232, 2011.
DOI : 10.1016/j.jvlc.2011.02.003

G. Andrienko, N. Andrienko, C. Hurter, S. Rinzivillo, and S. Wrobel, From movement tracks through events to places: Extracting and characterizing significant places from mobility data, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST), pp.161-170, 2011.
DOI : 10.1109/VAST.2011.6102454

URL : https://hal.archives-ouvertes.fr/hal-01022470

G. Andrienko, N. Andrienko, and M. Heurich, An event-based conceptual model for context-aware movement analysis, International Journal of Geographical Information Science, vol.24, issue.9, pp.251347-1370, 2011.
DOI : 10.1559/152304006777323136

G. Andrienko, N. Andrienko, M. Mladenov, M. Mock, and C. Poelitz, Identifying Place Histories from Activity Traces with an Eye to Parameter Impact, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.5, pp.675-688, 2012.
DOI : 10.1109/TVCG.2011.153

N. Andrienko and G. Andrienko, Cumulative curves for exploration of demographic data: a case study of Northwest England, Computational Statistics, vol.1, issue.1, pp.9-28, 2004.
DOI : 10.1007/BF02915274

N. Andrienko and G. Andrienko, Exploratory Analysis of Spatial and Temporal Data. A Systematic Approach, 2006.

N. Andrienko and G. Andrienko, Spatial Generalization and Aggregation of Massive Movement Data, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.2, pp.205-219, 2011.
DOI : 10.1109/TVCG.2010.44

M. Ankerst, M. Breunig, H. Kriegel, and J. Sander, OPTICS: Ordering points to identify the clustering structure, In: ACM SIGMOD, pp.49-60, 1999.

K. Beard, H. Deese, and N. R. Pettigrew, A Framework for Visualization and Exploration of Events, Information Visualization, vol.10, issue.2, pp.133-151, 2008.
DOI : 10.1057/palgrave.ivs.9500165

P. Buono, A. Aris, C. Plaisant, A. Khella, and B. Shneiderman, Interactive Pattern Search in Time Series, Proc. Conf. on Visualization and Data Analysis, pp.175-186, 2005.

F. Calabrese, F. Pereira, G. Dilorenzo, L. Liu, and C. Ratti, The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events, Int. Conf. Pervasive Computing, pp.22-37, 2010.
DOI : 10.1007/978-3-642-12654-3_2

T. Crnovrsanin, C. Muelder, C. Correa, and K. Ma, Proximity-based visualization of movement trace data, 2009 IEEE Symposium on Visual Analytics Science and Technology, pp.11-18, 2009.
DOI : 10.1109/VAST.2009.5332593

S. Dodge, R. Weibel, and E. Forootan, Revealing the physics of movement: Comparing the similarity of movement characteristics of different types of moving objects, Computers, Environment and Urban Systems, vol.33, issue.6, pp.419-434, 2009.
DOI : 10.1016/j.compenvurbsys.2009.07.008

R. A. Enguehard, R. Devillers, and O. Hoeber, Geovisualization of fishing vessel movement patterns using hybrid fractal/velocity signatures, online proceedings, 2011.

M. Ester, H. Kriegel, J. Sander, and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, In: ACM KDD, pp.226-231, 1996.

A. Frank, Qualitative spatial reasoning about distances and directions in geographical space, Journal of Visual Languages and Computing, issue.3, pp.343-371, 1992.

A. Fredrikson, C. North, C. Plaisant, and B. Shneiderman, Temporal, geographical and categorical aggregations viewed through coordinated displays, Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management , NPIVM '99, pp.26-34, 1999.
DOI : 10.1145/331770.331780

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

F. Giannotti, M. Nanni, F. Pinelli, and D. Pedreschi, Trajectory pattern mining, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.330-339, 2007.
DOI : 10.1145/1281192.1281230

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

H. Guo, Z. Wang, B. Yu, H. Zhao, and X. Yuan, TripVista: Triple Perspective Visual Trajectory Analytics and its application on microscopic traffic data at a road intersection, 2011 IEEE Pacific Visualization Symposium, pp.163-170
DOI : 10.1109/PACIFICVIS.2011.5742386

R. H. Güting and M. Schneider, Moving Objects Databases, 2005.

A. Guttman, A Dynamic Index Structure for Spatial Searching, Proceedings of the 1984 ACM SIGMOD international conference on Management of data (SIGMOD '84), pp.47-57, 1984.

T. Hägerstrand, What about people in regional science? Papers, Regional Science Association, pp.7-21, 1970.

J. D. Hamilton, Time series analysis, 1994.

M. Harrower and C. A. , ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps, The Cartographic Journal, vol.40, issue.1, pp.27-37, 2003.
DOI : 10.1179/000870403235002042

C. Hurter, B. Tissoires, and S. Conversy, FromDaDy: Spreading Aircraft Trajectories Across Views to Support Iterative Queries, IEEE Transactions on Visualization and Computer Graphics, vol.15, issue.6, pp.1017-1024, 2009.
DOI : 10.1109/TVCG.2009.145

URL : https://hal.archives-ouvertes.fr/hal-01022260

P. Kalnis, N. Mamoulis, and S. Bakiras, On Discovering Moving Clusters in Spatio-temporal Data, Advances in spatial and temporal databases 2005, pp.364-381
DOI : 10.1007/11535331_21

J. Kim, Events as property exemplifications Action Theory, pp.159-177, 1976.

M. Kraak, The space-time cube revisited from a geovisualization perspective, Proc. 21st Int. Cartographic Conference, pp.1988-1995, 2003.

P. Laube, S. Imfeld, and R. , Discovering relative motion patterns in groups of moving point objects, International Journal of Geographical Information Science, vol.37, issue.6, pp.639-668, 2005.
DOI : 10.1080/1365881031000135492

J. Macedo, C. Vangenot, W. Othman, N. Pelekis, E. Frentzos et al., Trajectory data models Mobility, Data Mining and Privacy -Geographic Knowledge Discovery, pp.123-150, 2008.

I. Peca, G. Fuchs, K. Vrotsou, N. Andrienko, and G. Andrienko, Scalable Cluster Analysis of Spatial Events, Proceedings of International Workshop on Visual Analytics, pp.19-23, 2012.

J. F. Roddick and M. Spiliopoulou, A survey of temporal knowledge discovery paradigms and methods, IEEE Transactions on Knowledge and Data Engineering, vol.14, issue.4, pp.750-767, 2002.
DOI : 10.1109/TKDE.2002.1019212

R. Scheepens, N. Willems, H. Van-de-wetering, and J. J. Van-wijk, Interactive visualization of multivariate trajectory data with density maps, 2011 IEEE Pacific Visualization Symposium, pp.147-154
DOI : 10.1109/PACIFICVIS.2011.5742384

J. Wood, J. Dykes, and A. Slingsby, Visualization of origins, destinations and flows with OD maps, The Cartographic Journal, issue.2, pp.47117-129, 2010.

M. F. Worboys, Event???oriented approaches to geographic phenomena, International Journal of Geographical Information Science, vol.4, issue.1, pp.1-28, 2005.
DOI : 10.1559/152304001782173718