Evaluation of Parameters Affecting Earthquake Damage Using a GIS-based Random Forests Machine Learning Model: The Case of the 6 February 2023 Kahramanmaras Earthquakes in Türkiye

Evaluation of Parameters Affecting Earthquake Damage Using a GIS-based Random Forests Machine Learning Model: The Case of the 6 February 2023 Kahramanmaras Earthquakes in Türkiye

Türkiye is a geographical feature with intense seismic activity due to its tectonic features. Despite such a high earthquake risk, the evaluation of parameters affecting earthquake damage is still very inadequate in Türkiye. The aim of this study was to evaluate the parameters affecting earthquake d...

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Bibliographic Details
Main Authors: Emre Özşahin, Mikayil Öztürk
Format: Article
Language:English
Published: Istanbul University Press 2024-12-01
Series:Coğrafya Dergisi
Subjects:
earthquake
earthquake damage
gis
Online Access:https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/EC03BAEB94F641CCA8AADAC72750D3D5
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