GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy
Autor: | Mohsen Alizadeh, Saro Lee, Mohammadreza Karami, Philip Kibet Langat, Himan Shahabi, Hasan Zabihi, Anuar Ahmad, Mohamad Nor Said |
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Rok vydání: | 2019 |
Předmět: |
Geographic information system
010504 meteorology & atmospheric sciences AHP Computer science Process (engineering) lcsh:TJ807-830 Geography Planning and Development lcsh:Renewable energy sources Analytic hierarchy process 010501 environmental sciences Management Monitoring Policy and Law computer.software_genre 01 natural sciences Set (abstract data type) Multi criteria land evaluation Production (economics) lcsh:Environmental sciences 0105 earth and related environmental sciences lcsh:GE1-350 Renewable Energy Sustainability and the Environment business.industry lcsh:Environmental effects of industries and plants GIS Multiple-criteria decision analysis Management strategy citrus mapping lcsh:TD194-195 ordered weighted averaging (OWA) multi-criteria analysis (MCA) Data mining business computer Decision analysis |
Zdroj: | Sustainability, Vol 11, Iss 4, p 1009 (2019) Sustainability Volume 11 Issue 4 |
ISSN: | 2071-1050 |
DOI: | 10.3390/su11041009 |
Popis: | This study proposes a site location assessment model for citrus cropland using multi-criteria evaluation (MCE) and the combination of a set of factors for suitability mapping and delineating the suitable areas for citrus production in Ramsar, Iran. It defines an incorporated method for the suitability mapping of the most appropriate sites for citrus cultivars with an emphasis on the multi-criteria decision analysis (MCDA) process. The combination of geographic information system (GIS) and a modified version of the analytic hierarchy process (AHP) based on the ordered weighted averaging (OWA) technique is also emphasized. The OWA is based on two principles, namely: the weights of relative criterion significance and the order weights. Therefore, the participatory technique was employed to outline the set of standards and the important criterion. The results derived from the GIS&ndash OWA technique indicate that the cultivation of citrus is feasible only in limited areas, which make up 6.7% of the total area near the Caspian Sea. This investigation has shown that the GIS&ndash OWA model can be integrated into MCDA to select the optimal site for citrus production. The present research highlights how multi-criteria in GIS can play a considerable role in decision making for evaluating the suitability of selected sites for citrus production. |
Databáze: | OpenAIRE |
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