ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-2, 147-152, 2012
https://doi.org/10.5194/isprsannals-I-2-147-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
13 Jul 2012
SPATIO-TEMPORAL CLUSTERING OF MOVEMENT DATA: AN APPLICATION TO TRAJECTORIES GENERATED BY HUMAN-COMPUTER INTERACTION
G. McArdle1, A. Tahir2, and M. Bertolotto2 1National Centre for Geocomputation, National University of Ireland Maynooth, Maynooth, Co. Kildare, Ireland
2School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland
Keywords: data mining, web based, visualisation, spatial, tasks Abstract. 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.
Conference paper (PDF, 2367 KB)


Citation: McArdle, G., Tahir, A., and Bertolotto, M.: SPATIO-TEMPORAL CLUSTERING OF MOVEMENT DATA: AN APPLICATION TO TRAJECTORIES GENERATED BY HUMAN-COMPUTER INTERACTION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-2, 147-152, https://doi.org/10.5194/isprsannals-I-2-147-2012, 2012.

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