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Evaluation of the Completeness of Spatial Data Infrastructure in the Context of Cadastral Data Sharing

Author

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  • Agnieszka Trystuła

    (Department of Land Management and Geographic Information Systems, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, Poland)

  • Małgorzata Dudzińska

    (Department of Land Management and Geographic Information Systems, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, Poland)

  • Ryszard Źróbek

    (Department of Land Management and Geographic Information Systems, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, Poland)

Abstract

The idea behind the Infrastructure for Spatial Information in Europe (INSPIRE) project was to provide EU citizens with access to various types of information, including environmental protection and spatial management data. These resources can be viewed (Web Map Service—WMS) and downloaded (Web Feature Service—WFS) online. Cadastral datasets represent one of the 34 spatial data themes in the spatial data infrastructure (SDI). The functionality of the SDI has not yet been fully achieved due to the failure of the WMS and WFS network services. The aim of this article was to assess the completeness of the SDI containing cadastral datasets. The present study has practical implications. The proposed diagnostic tool supports an assessment of the completeness of SDI resources in seven diagnostic groups (technical and legal identifiers, the cadastral information profile, the WMS network service, the WFS network service, source cadastral databases, data validity, and WMS and WFS standardization). The developed assessment methodology enables the identification of websites that publish cadastral data through INSPIRE network services, as well as problematic websites, and it has high development potential. The results of the assessment should be used in the ongoing construction of the SDI. They can also be used to improve the quality of network services and their availability for end users.

Suggested Citation

  • Agnieszka Trystuła & Małgorzata Dudzińska & Ryszard Źróbek, 2020. "Evaluation of the Completeness of Spatial Data Infrastructure in the Context of Cadastral Data Sharing," Land, MDPI, vol. 9(8), pages 1-18, August.
  • Handle: RePEc:gam:jlands:v:9:y:2020:i:8:p:272-:d:399276
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    References listed on IDEAS

    as
    1. Dawidowicz, Agnieszka & Źróbek, Ryszard, 2018. "A methodological evaluation of the Polish cadastral system based on the global cadastral model," Land Use Policy, Elsevier, vol. 73(C), pages 59-72.
    2. Bennett, Rohan Mark & Pickering, M. & Sargent, J., 2019. "Transformations, transitions, or tall tales? A global review of the uptake and impact of NoSQL, blockchain, and big data analytics on the land administration sector," Land Use Policy, Elsevier, vol. 83(C), pages 435-448.
    3. Kocur-Bera, Katarzyna, 2019. "Data compatibility between the Land and Building Cadaster (LBC) and the Land Parcel Identification System (LPIS) in the context of area-based payments: A case study in the Polish Region of Warmia and ," Land Use Policy, Elsevier, vol. 80(C), pages 370-379.
    4. Aydinoglu, Arif Cagdas & Bovkir, Rabia, 2017. "Generic land registry and cadastre data model supporting interoperability based on international standards for Turkey," Land Use Policy, Elsevier, vol. 68(C), pages 59-71.
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