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Article

GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy

1
Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia
2
School of Environmental and Rural Science, University New England, Armidale, NSW 2351, Australia
3
Department of Social Science, University of Payam Noor, Tehran 19395-4697, Iran
4
Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj 66177-15175, Iran
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Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124, Gwahak-ro Yuseong-gu, Daejeon 34132, Korea
6
Department of Geophysical Exploration, Korea University of Science and Technology, 217 Gajeong-ro Yuseong-gu, Daejeon 34113, Korea
*
Authors to whom correspondence should be addressed.
Sustainability 2019, 11(4), 1009; https://doi.org/10.3390/su11041009
Received: 22 December 2018 / Revised: 9 February 2019 / Accepted: 12 February 2019 / Published: 15 February 2019
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–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–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. View Full-Text
Keywords: citrus mapping; multi-criteria analysis (MCA); GIS; AHP; ordered weighted averaging (OWA); land evaluation citrus mapping; multi-criteria analysis (MCA); GIS; AHP; ordered weighted averaging (OWA); land evaluation
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MDPI and ACS Style

Zabihi, H.; Alizadeh, M.; Kibet Langat, P.; Karami, M.; Shahabi, H.; Ahmad, A.; Nor Said, M.; Lee, S. GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy. Sustainability 2019, 11, 1009. https://doi.org/10.3390/su11041009

AMA Style

Zabihi H, Alizadeh M, Kibet Langat P, Karami M, Shahabi H, Ahmad A, Nor Said M, Lee S. GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy. Sustainability. 2019; 11(4):1009. https://doi.org/10.3390/su11041009

Chicago/Turabian Style

Zabihi, Hasan; Alizadeh, Mohsen; Kibet Langat, Philip; Karami, Mohammadreza; Shahabi, Himan; Ahmad, Anuar; Nor Said, Mohamad; Lee, Saro. 2019. "GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy" Sustainability 11, no. 4: 1009. https://doi.org/10.3390/su11041009

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