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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-07-01
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| 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 |
| Summary: | 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 interpreting the data. We have developed a geovisual analysis tool for studying movement data. In
addition to interactive visualisations, the tool has features for analysing movement trajectories, in terms of their spatial and temporal
similarity. The focus in this paper is on mouse trajectories of users interacting with web maps. The results obtained from a user trial
can be used as a starting point to determine which parts of a mouse trajectory can assist personalisation of spatial web maps. |
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| ISSN: | 2194-9042 2194-9050 |