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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Physica A Statistica...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Physica A Statistical Mechanics and its Applications
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran)

Authors: Marzieh Mokarram; Abbas Mirsoleimani;

Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran)

Abstract

Abstract The aim of this research is to determine the land suitability for cultivating citrus in Fars province, Iran. To reach the mentioned aim, a fuzzy method and order weight average (OWA) methods are used for preparing the fuzzy map of each parameter in GIS. At first, some parameters like the water availability (well, spring and river), roads network, aspect, elevation, slope, maximum temperature, minimum temperature, rainfall, relative humidity, sunshine hours, and growing degree days (GDD) were used as input data. After preparing the interpolation map by using IDW, fuzzy map was prepared for each layer by using the fuzzy membership function. Then based on the importance degree of each data, analytic hierarchy process (AHP) method is applied to determine each layer weight and land suitability map. Consequently, the study area is classified into 56.16% as not suitable, 7.69% as low suitable, 25.41% as medium suitable and 10.75% as suitable. Also the results of OWA showed that with increasing risk (no trade-off), all of the study area had good condition for citrus cultivation. In addition, with decreasing risk (no trade-off), almost all of the study area had not suitable for citrus cultivation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
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