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Himan Shahabi

Himan Shahabi

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 23670602300
HIndex: 0/00
Faculty: Faculty of Natural Resources
Address: Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
Phone: 087-33664600-8 داخلی 4312

Research

Title
GIS Multi-Criteria Analysis by OrderedWeighted Averaging (OWA): Toward an Integrated Citrus Management Strategy
Type
JournalPaper
Keywords
citrus mapping; multi-criteria analysis (MCA); GIS; AHP; ordered weighted averaging (OWA); land evaluation
Year
2019
Journal Sustainability
DOI
Researchers Hasan Zabihi ، Mohsen Ali Zadeh ، Philip Kibet Langat ، Mohammadreza Karami ، Himan Shahabi ، Anuar Ahmad ، Mohamad Nor Said ، Lee Saro

Abstract

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.