Maria Luisa Damiani
ABSTRACT
We present MigrO, a clustering environment for the extraction of individual mobility patterns from GPS trajectories, relying on the notion of stay region [1]. A stay region is an 'attractive' area where the moving object resides for a period, possibly experiencing arbitrarily long periods of absence, before moving to a more attractive stay region. The core component is the SeqScan algorithm for the extraction of temporally ordered sequences of stay regions grounded on the notion of presence. An additional set of functionalities support trajectory pre-processing and clustering evaluation. MigrO is developed as plug-in for the open-source QuantumGIS system thus can exploit the rich set of functionalities of the hosting system, offering a formidable platform for the analysis of the mobility behavior. In this demonstration, we present MigrO at work in two case studies, both from the domain of animal ecology, illustrating two kinds of behavior, the migratory behavior and the exploratory behavior of two species of animals.
- M. L. Damiani, H. Issa, and F. Cagnacci. Extracting stay regions with uncertain boundaries from from GPS trajectories: a case study in animal ecology. In Proc. ACM GIS, 2014. Google Scholar
Digital Library
- P. Laube. The low hanging fruit is gone: Achievements and challenges of computational movement analysis. SIGSPATIAL Special, 7(1), 2015. Google ScholarDigital Library
- S. Dodge, R. Weibel, and A-K Lautenschütz. Towards a taxonomy of movement patterns. Information Visualization, 7(3--4):240--252, 2008. Google ScholarDigital Library
- M. Ester, H. P. Kriegel, J. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proc. KDD, 1996.Google ScholarDigital Library
- M. L. Damiani, H. Issa, G. Fotino, M. Heurich, and F. Cagnacci. Introducing 'presence' and 'stationarity index' to study partial migration patterns: an application of a spatio-temporal clustering technique. International Journal of Geographical Information Science, 29:7, 2015.Google Scholar
- R. H. Güting, F. Valdés, and M. L. Damiani. Symbolic trajectories. ACM Transactions on Spatial Algorithms and Systems, Vol. 1, Issue 2:7, 2015. Google ScholarDigital Library
Index Terms
- MigrO: a plug-in for the analysis of individual mobility behavior based on the stay region model
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