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    Interpreting Map Usage Patterns using Geovisual Analytics and Spatio-Temporal Clustering

    McArdle, Gavin and Tahir, Ali and Bertolotto, Michela (2014) Interpreting Map Usage Patterns using Geovisual Analytics and Spatio-Temporal Clustering. International Journal of Digital Earth. ISSN 1753-8947

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    Extracting meaningful information from the growing quantity of spatial data is a challenge. The issues are particularly evident with spatial temporal data describing movement. Such data typically corresponds to movement of humans, animals and machines in the physical environment. This article considers a special form of movement data generated through human-computer interactions with online web maps. As a user interacts with a web map using a mouse as a pointing tool, invisible trajectories are generated. By examining the spatial features on the map where the mouse cursor visits, a user's interests and experience can be detected. To analyse this valuable information, we have developed a geovisual analysis tool which provides a rich insight into such user behaviour. The focus of this paper is on a clustering technique which we apply to mouse trajectories to group trajectories with similar behavioural properties. Our experiments reveal that it is possible to identify experienced and novice users of web mapping environments using an incremental clustering approach. The results can be used to provide personalised map interfaces to users and provide appropriate interventions for completing spatial tasks.

    Item Type: Article
    Keywords: geovisual analytics; spatio-temporal clustering; behavioural clustering; map personalisation; digital globe;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5526
    Identification Number:
    Depositing User: Dr. Gavin McArdle
    Date Deposited: 03 Nov 2014 14:53
    Journal or Publication Title: International Journal of Digital Earth
    Publisher: Taylor & Francis
    Refereed: Yes
    Funders: Science Foundation Ireland
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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