SPATIO-TEMPORAL CLUSTERING OF MOVEMENT DATA: AN APPLICATION TO TRAJECTORIES GENERATED BY HUMAN-COMPUTER INTERACTION

Advances in ubiquitous positioning technologies and their increasing availability in mobile devices has generated large volumes of movement data. Analysing these datasets is challenging. While data mining techniques can be applied to this data, knowledge of the underlying spatial region can assist...

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Bibliographic Details
Main Authors: G. McArdle, A. Tahir, M. Bertolotto
Format: Article
Language:English
Published: Copernicus Publications 2012-07-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-2/147/2012/isprsannals-I-2-147-2012.pdf