Analyzing spatial non-stationarity effects of driving factors on landslides: a multiscale geographically weighted regression approach based on slope units

Landslides pose a significant threat to the safety of people and their property. Previous landslide susceptibility assessment efforts have often overlooked the impact of spatial variations in the distribution of driving factors on disaster occurrences. Geographically Weighted Regression (GWR) is the...

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Veröffentlicht in:	Bulletin of engineering geology and the environment 2024-10, Vol.83 (10), p.394, Article 394
Hauptverfasser:	Lu, Feifan, Zhang, Guifang, Wang, Tonghao, Ye, Yumeng, Zhen, Junwei, Tu, Wanli
Format:	Artikel
Sprache:	eng
Schlagworte:	Balances (scales) Bandwidths Disasters Earth and Environmental Science Earth Sciences Emergency preparedness Foundations Geoecology/Natural Processes Geoengineering Geographical distribution Geotechnical Engineering & Applied Earth Sciences Hazard assessment Hydraulics Impact analysis Landslides Landslides & mudslides Machine learning Mitigation Nature Conservation Original Paper Parameter estimation Regression models Scaling Spatial variations Support vector machines Topography
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