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2016 | OriginalPaper | Buchkapitel

Land Suitability Evaluation for Agro-forestry: Definition of a Web-Based Multi-Criteria Spatial Decision Support System (MC-SDSS): Preliminary Results

verfasst von : Giuseppe Modica, Maurizio Pollino, Simone Lanucara, Luigi La Porta, Gaetano Pellicone, Salvatore Di Fazio, Carmelo Riccardo Fichera

Erschienen in: Computational Science and Its Applications -- ICCSA 2016

Verlag: Springer International Publishing

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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).

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Vorheriges Kapitel Digital Tom Thumb: A Digital Mobile and Geobased Signage System in Public Spaces Orientation
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Metadaten
Titel
Land Suitability Evaluation for Agro-forestry: Definition of a Web-Based Multi-Criteria Spatial Decision Support System (MC-SDSS): Preliminary Results
verfasst von
Giuseppe Modica
Maurizio Pollino
Simone Lanucara
Luigi La Porta
Gaetano Pellicone
Salvatore Di Fazio
Carmelo Riccardo Fichera
Copyright-Jahr
2016
Buch
Computational Science and Its Applications -- ICCSA 2016

Print ISBN: 978-3-319-42110-0

Electronic ISBN: 978-3-319-42111-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-42111-7_31

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