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From ancient days, people have observed various moving entities, from insects and fishes to planets and stars, and investigated their movement behaviours. Although methods that were used in earlier times for observation, measurement, recording, and analysis of movements are very different from modern technologies, there is still much to learn from past studies. First, this is the thorough attention paid to the multiple aspects of movement. These include not only the trajectory (path) in space, characteristics of motion itself such as speed and direction, and their dynamics over time but also characteristics and activities of the entities that move. Second, this is the striving to relate movements to properties of their surroundings and to various phenomena and events.
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Fraunhofer Institut Intelligente Analyse- und Informationssysteme, Sankt Augustin, Germany
N. Andrienko & G. Andrienko
Computer Technology Institute (CTI) and Department of Informatics, University of Piraeus, Greece
N. Pelekis
Database Laboratory, École Polytechnique Fédérale de Lausanne, Switzerland
S. Spaccapietra
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KDD Laboratory ISTI-CNR, Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Via G. Moruzzi, 1, 56124, Pisa, Italy
Fosca Giannotti
KDD Laboratory Dipartimento di Informatica, Università di Pisa, Largo B. Pontecorvo, 3, 56127, Pisa, Italy
Dino Pedreschi
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Andrienko, N., Andrienko, G., Pelekis, N., Spaccapietra, S. (2008). Basic Concepts of Movement Data. In: Giannotti, F., Pedreschi, D. (eds) Mobility, Data Mining and Privacy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75177-9_2
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