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    Patterns of consumption and connectedness in GIS Web sources

    Ballatore, Andrea and Scheider, S. and Lemmens, R. (2018) Patterns of consumption and connectedness in GIS Web sources. In: Mansourian, A. and Pilesjö, P. and Harrie, L. and van Lammeren, R. (eds.) Geospatial Technologies for All: Selected Papers of the 21st AGILE Conference on Geographic Information Science. Lecture Notes in Geoinformation and Cartography. Springer, pp. 129-148. ISBN 9783319782072.

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    Abstract

    Every day, practitioners, researchers, and students consult the Web to meet their information needs about GIS concepts and tools. How do we improve GIS in terms of conceptual organisation, findability, interoperability and relevance for user needs? So far, efforts have been mainly top-down, overlooking the actual usage of software and tools. In this article, we critically explore the potential of Web science to gain knowledge about tool usage and public interest in GIScience concepts. First, we analyse behavioural data from Google Trends, showing clear patterns in searches for GIS software. Second, we analyse the visits to GIScience-related websites, highlighting the continued dominance of ESRI, but also the rapid emergence of Web-based new tools and services. We then study the views of Wikipedia articles to enable the quantification of methods and tools’ popularity. Fourth, we deploy web crawling and network analysis on the ArcGIS documentation to observe the relevance and conceptual associations among tools. Finally, in order to facilitate the study of GIS usage across the Web, we propose a linked-data inventory to identify Web resources related to GI concepts, methods, and tools. This inventory will also enable researchers, practitioners, and students to find what methods are available across software packages, and where to get information about them.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): GIS, Geographic information science, GIScience, GIS operations, Web science, Google Trends, Wikipedia, ArcGIS, Linked data
    School: School of Social Sciences, History and Philosophy > Department of Geography
    Research Centres and Institutes: Data Analytics, Birkbeck Institute for
    Depositing User: Andrea Ballatore
    Date Deposited: 26 Apr 2018 10:31
    Last Modified: 14 Feb 2021 03:01
    URI: https://eprints.bbk.ac.uk/id/eprint/21168

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