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    Forest Fire Risk Modeling Using Logistic Regression and Geographic Information Systems: A Case Study in Muğla - Milas by İlker Atmaca, Özge Işık Pekkan, Mehtap Özenen Kavlak, Yavuz Selim Tunca, Saye Nihan Çabuk

    Published 2022-01-01
    “…For this reason, in order to minimize the frequency of forest fires and prevent damages, areas with fire risk should be determined and it is necessary to be prepared for the precautions to be taken before, during and after the fire. In this study, Logistic Regression (LR) and Geographic Information Systems (GIS) were used to model the forest fire risk for the Milas province in Muğla. …”
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