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    Integrating geo web services for a user driven exploratory analysis

    Access Status
    Fulltext not available
    Authors
    Moncrieff, Simon
    Turdukulov, Ulanbek
    Gulland, Elizabeth-Kate
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Moncrieff, S. and Turdukulov, U. and Gulland, E. 2015. Integrating geo web services for a user driven exploratory analysis. ISPRS Journal of Photogrammetry and Remote Sensing. 114: pp. 294-305.
    Source Title
    ISPRS Journal of Photogrammetry and Remote Sensing
    DOI
    10.1016/j.isprsjprs.2016.01.015
    ISSN
    0924-2716
    School
    Department of Spatial Sciences
    URI
    http://hdl.handle.net/20.500.11937/17063
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). In data exploration, several online data sources may need to be dynamically aggregated or summarised over spatial region, time interval, or set of attributes. With respect to thematic data, web services are mainly used to present results leading to a supplier driven service model limiting the exploration of the data. In this paper we propose a user need driven service model based on geo web processing services. The aim of the framework is to provide a method for the scalable and interactive access to various geographic data sources on the web. The architecture combines a data query, processing technique and visualisation methodology to rapidly integrate and visually summarise properties of a dataset. We illustrate the environment on a health related use case that derives Age Standardised Rate - a dynamic index that needs integration of the existing interoperable web services of demographic data in conjunction with standalone non-spatial secure database servers used in health research. Although the example is specific to the health field, the architecture and the proposed approach are relevant and applicable to other fields that require integration and visualisation of geo datasets from various web services and thus, we believe is generic in its approach.

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