GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy
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 suitabili...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI
2019
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| Online Access: | http://eprints.utm.my/96980/1/AnuarAhmad2019_GISMultiCriteriaAnalysisbyOrderedWeightedAveraging.pdf |
| _version_ | 1796866332181921792 |
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| author | Ghodsiyeh, Danial Akbarzadeh, Saleh Izman, Sudin Moradi, Mona |
| author_facet | Ghodsiyeh, Danial Akbarzadeh, Saleh Izman, Sudin Moradi, Mona |
| author_sort | Ghodsiyeh, Danial |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T21:10:33Z |
| format | Article |
| id | utm.eprints-96980 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:10:33Z |
| publishDate | 2019 |
| publisher | MDPI |
| record_format | dspace |
| spelling | utm.eprints-969802022-09-06T07:51:50Z http://eprints.utm.my/96980/ GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy Ghodsiyeh, Danial Akbarzadeh, Saleh Izman, Sudin Moradi, Mona G70.212-70.215 Geographic information system 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. MDPI 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/96980/1/AnuarAhmad2019_GISMultiCriteriaAnalysisbyOrderedWeightedAveraging.pdf Ghodsiyeh, Danial and Akbarzadeh, Saleh and Izman, Sudin and Moradi, Mona (2019) GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy. Sustainability (Switzerland), 11 (4). pp. 1-17. ISSN 2071-1050 http://dx.doi.org/10.3390/su11041009 DOI : 10.3390/su11041009 |
| spellingShingle | G70.212-70.215 Geographic information system Ghodsiyeh, Danial Akbarzadeh, Saleh Izman, Sudin Moradi, Mona GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy |
| title | GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy |
| title_full | GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy |
| title_fullStr | GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy |
| title_full_unstemmed | GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy |
| title_short | GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy |
| title_sort | gis multi criteria analysis by orderedweighted averaging owa toward an integrated citrus management strategy |
| topic | G70.212-70.215 Geographic information system |
| url | http://eprints.utm.my/96980/1/AnuarAhmad2019_GISMultiCriteriaAnalysisbyOrderedWeightedAveraging.pdf |
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