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The Effectiveness of Geographical Data in Multi-Criteria Evaluation of Landscape Services †

Author

Listed:
  • Roberta Mele

    (Department of Architecture, University of Rome La Sapienza, 00197 Rome, Italy)

  • Giuliano Poli

    (Department of Architecture, University of Naples Federico II, 80134 Naples, Italy)

Abstract

The aim of the paper is to map and evaluate the state of the multifunctional landscape of the municipality of Naples (Italy) and its surroundings, through a Spatial Decision-Making support system (SDSS) combining geographic information system (GIS) and a multi-criteria method an analytic hierarchy process (AHP). We conceive a knowledge-mapping-evaluation (KME) framework in order to investigate the landscape as a complex system. The focus of the proposed methodology involving data gathering and processing. Therefore, both the authoritative and the unofficial sources, e.g., volunteered geographical information (VGI), are useful tools to enhance the information flow whenever quality assurance is performed. Thus, the maps of spatial criteria are useful for problem structuring and prioritization by considering the availability of context-aware data. Finally, the identification of landscape services (LS) and ecosystem services (ES) can improve the decision-making processes within a multi-stakeholders perspective involving the evaluation of the trade-off. The results show multi-criteria choropleth maps of the LS and ES with the density of services, the spatial distribution, and the surrounding benefits.

Suggested Citation

  • Roberta Mele & Giuliano Poli, 2017. "The Effectiveness of Geographical Data in Multi-Criteria Evaluation of Landscape Services †," Data, MDPI, vol. 2(1), pages 1-11, February.
    • Handle: RePEc:gam:jdataj:v:2:y:2017:i:1:p:9-:d:89474
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    References listed on IDEAS

    as
    1. Richard P. Eales & William R. Sheate, 2011. "Effectiveness Of Policy Level Environmental And Sustainability Assessment: Challenges And Lessons From Recent Practice," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 39-65.
    2. Pierre Lacroix & Helder Santiago & Nicolas Ray, 2014. "MASCOT: Multi-Criteria Analytical SCOring Tool for ArcGIS Desktop," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(06), pages 1135-1159.
    3. Thomas L. Saaty & Luis G. Vargas, 2012. "Models, Methods, Concepts & Applications of the Analytic Hierarchy Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-3597-6, September.
    4. J Malczewski & W Ogryczak, 1995. "The Multiple Criteria Location Problem: 1. A Generalized Network Model and the Set of Efficient Solutions," Environment and Planning A, , vol. 27(12), pages 1931-1960, December.
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