Computational Movement Analysis (CMA) develops and applies analytical computational tools aiming at a better understanding of movement data. CMA copes with the rapidly growing data streams capturing the mobility of people, animals, and things roaming geographic spaces. CMA studies how movement can be represented, modeled, and analyzed in GIS&T. The CMA toolbox includes a wide variety of approaches, ranging from database research, over computational geometry to data mining and visual analytics.
Laube, P. (2017). Computational Movement Analytics. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2017 Edition), John P. WIlson (ed.), doi: 10.22224/gistbok/2017.2.6.