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A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach

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  • Iban, Muzaffer Can
  • Aksu, Oktay

Abstract

A Spatial Data Infrastructure (SDI) enables the effective spatial data flow between providers and users for their prospective land use analyses. The need for an SDI providing soil and land use inventories is crucial in order to optimize sustainable management of agricultural, meadow and forest lands. In an SDI where datasets are static, it is not possible to make quick decisions about land use. Therefore, SDIs must be enhanced with online data flow and the capabilities to store big volumes of data. This necessity brings the concepts of the Internet of Things (IoT) and Big Data (BD) into the discussion.

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  • Iban, Muzaffer Can & Aksu, Oktay, 2020. "A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach," Land Use Policy, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:lauspo:v:91:y:2020:i:c:s0264837719304223
    DOI: 10.1016/j.landusepol.2019.104376
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    Cited by:

    1. Li, Dalei & Gao, Jianzhong, 2021. "Impact of Large-Scale Land Operation on the Development of Regional Public Brands of Agricultural Products," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329397, Asian Society of Agricultural Economists (ASAE).
    2. Kopczewska, Katarzyna & Ćwiakowski, Piotr, 2021. "Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants," Land Use Policy, Elsevier, vol. 103(C).

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