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Developing a Model To Select The Best Location For a Tourist Facility Using ModelBuilder in ArcGIS

تطوير نموذج لاختيار أفضل موقع لمنشأة سياحية باستخدام ModelBuilder في برنامج ArcGIS

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 Publication date 2017
and research's language is العربية
 Created by Fadi CHAABAN




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References used
حسين، علي. العلي، هلا. سليمان، نجود.(2016). إيجاد الموقع الأفضل لمنشأة سياحية باستخدام التحليل المكاني في بيئة أنظمة المعلومات الجغرافية، تطبيق عملي : محافظة طرطوس. قسم الهندسة الطبوغرافية، كلية الهندسة المدنية، جامعة تشرين، 2015-2016.
McCoy, J., Johnston, K., & Environmental systems research institute. (2001). Using ArcGIS spatial analyst: GIS by ESRI. Environmental Systems Research Institute.
A quick tour of creating tools with ModelBuilder http://desktop.arcgis.com/en/arcmap/latest/analyze/modelbuilder/a-quick-tour-of- creating-tools-with-modelbuilder.htm
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The overlay functions in Geographic Information Systems (GIS) are considered as one of the basic functions of these systems, and often, a variety of data stored in layers may be integrated together to generate new layers that contain useful informati on for decision-makers. All geographic objects are stored in layers and usually rely on crisp set theory, whether, stored in a vector or raster format. In many cases, boundaries of classes or objects are not clearly defined, or when we perform classification of features into classes, the geographic objects located in the boundaries of classes could be classified into the wrong class. This research aims to develop overlay functions methodology based on fuzzy logic, reclassify the objects into fuzzy classes, and study the usability of this method to integrate data of specific phenomenon to help make optimal decisions. To implement and examine this idea, a set of Fuzzy Membership Functions was developed using the Python programming language embedded within the ArcGIS environment. Through this Fuzzy Membership Functions, the user can generate fuzzy sets and combine with each other according to one of fuzzy operations, and thus the generation of fuzzy sets allows supporting the right and reliable decision. To test the proposed fuzzy model capabilities, it has been applied in Tartous governorate to select suitable tourist facility sites in accordance with groups of factors. In summary, data integration using proposed fuzzy overlay functions can improve the reliability of data representation and thus the reliability of make the best decisions.
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