Abstract
The weighted sum already incorporated into a geographical information system (GIS) makes it possible to identify the best lands useful for sustainable agriculture. However, it does not allow for the inclusion of the decision makers’ preferences so that a choice can be made when there are conflicts between decision makers. Because of their spatial aggregation functions, multicriteria decision analysis methods can facilitate decision making in situations where several solutions are available, various criteria have to be taken into account, and decision makers disagree about one point or another. Combinations between ArcGIS and multicriteria analysis methods in this case Elimination Et Choix Traduisant la Realité (ELECTRE TRI) and a version of the weighted sum method simple additive weighting, applicable to the vector data model, have been established. The parameters and the classification system of Food and Agriculture Organization are used in this work. This approach has been tested on the area of Mleta in Algeria. Land suitability maps for durum wheat have been produced. Through the comparison between results obtained by these two methods and those available in a classical method, based on manual overlay procedures, it appears that optimistic procedure of the ELECTRE TRI method is better suited to the problem of land suitability for agriculture.
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Mendas, A., Delali, A., Khalfallah, M. et al. Improvement of land suitability assessment for agriculture—application in Algeria. Arab J Geosci 7, 435–445 (2014). https://doi.org/10.1007/s12517-013-0860-2
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DOI: https://doi.org/10.1007/s12517-013-0860-2