Abstract
Land suitability evaluation (LSE) is a widespread methodology that supports environmental managers and planners in analysing the interactions between location, development actions, and environmental elements. In the present paper, we discuss on a web-based multi-criteria spatial decision support system (MC-SDSS) implemented to accomplish LSE for agro-forestry. We propose a MC-SDSS developed on a free open source software for geospatial (FOSS4G) environment, accessible through a user-friendly geographical user interface (GUI) that allows to perform geospatial analyses. To this end, the MC-SDSS has been conceived as a multi-tier architecture, able to manage processes executable via OGC (Open Geospatial Consortium) web processing services (WPSs) and produce output maps and data available via the largely used OGC services: web feature service (WFS), web coverage service (WCS) and web map service (WMS). In this first application, we chose the weighted linear combination (WLC) as decision rule to aggregate data, weighted by judgements provided by experts following the analytical hierarchy process (AHP).
Keywords
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Acknowledgements
This research has been funded by projects PONa3_00016-RI-SAF@MED (Research Infrastructure for Sustainable Agriculture and Food in Mediterranean area) and PON03PE_00090_3, in the framework of National Operational Programme (NOP) for Research and Competitiveness 2007–2013 of the Italian Ministry of Education, University and Research (MIUR) and Ministry of Economic Development (MiSE), and co-funded by the European Regional Development Fund (ERDF).
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Modica, G. et al. (2016). Land Suitability Evaluation for Agro-forestry: Definition of a Web-Based Multi-Criteria Spatial Decision Support System (MC-SDSS): Preliminary Results. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9788. Springer, Cham. https://doi.org/10.1007/978-3-319-42111-7_31
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DOI: https://doi.org/10.1007/978-3-319-42111-7_31
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