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    A Geovisual Analytics Approach for Mouse Movement Analysis


    Tahir, Ali and McArdle, Gavin and Bertolotto, Michela (2014) A Geovisual Analytics Approach for Mouse Movement Analysis. International Journal Data Mining, Modelling and Management. ISSN 1759-1163 (In Press)

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    Official URL: http://www.inderscience.com/jhome.php?jcode=ijdmmm


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    Abstract

    The use of Web maps has created opportunities and challenges for map generation and delivery. While volunteered geographic information has led to the development of accurate and inexpensive Web maps, the sheer volume of data generated has created spatial information overload. This results in difficulties identifying relevant map features. Geopersonalisation, which adapts map content based on user interests offers a solution to this. The technique is especially powerful when implicit indicators of interest are used as a basis for personalisation. This article describes the design and features of VizAnalysisTools, a suite of tools to visualise and interpret users’ implicit interactions with map content. While traditional data mining techniques can be used to identify trends and preferences, visual analytics, in particular Geovisual Analytics, which assists the human cognition process, has proven useful in detecting interesting patterns. By identifying salient trends, areas of interest on the map become apparent. This knowledge can be used to strengthen the algorithms used for Geopersonalisation.

    Item Type: Article
    Keywords: geographical information systems; Geovisual Analytics; geovisual analysis; Geoweb; web GIS; Geopersonalisation; Geovisualisation; GIS; web architecture; map personalisation; web mapping; heat map; speed map; mouse movements; open source;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5518
    Depositing User: Dr. Gavin McArdle
    Date Deposited: 28 Oct 2014 11:14
    Journal or Publication Title: International Journal Data Mining, Modelling and Management
    Publisher: Inderscience
    Refereed: Yes
    Funders: Science Foundation Ireland
    URI:

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