Abstract
The analysis of the observed movement by means of computers requires abstraction, conceptual modeling, and formalization of the moving entities and the spaces embedding that movement. This preliminary but crucial stage of Computational Movement Analysis (CMA) requires modeling choices but is also constrained by the data sources at hand. This chapter investigates how movement can be modeled from the various data sources contributing to CMA, and discusses implications of the characteristics of models and sources on how movement can be captured and characterized, structured and analyzed.
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Notes
- 1.
Note that this section is focused on how movement traces can be abstracted and represented in spatial information systems. Other authors have put forward conceptual models for movement in different contexts, such as, for example, for explaining organismal movement in movement ecology (Nathan et al. 2008), discussed in the related work Sect. 2.4.
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Laube, P. (2014). Movement Spaces and Movement Traces. In: Computational Movement Analysis. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-10268-9_2
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DOI: https://doi.org/10.1007/978-3-319-10268-9_2
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