Identifying social vulnerability profiles for coastal flood using supervised and unsupervised machine learning: A case study of Lekki Peninsula, Lagos, Nigeria

Coastal flooding disproportionately impacts households based on pre-existing vulnerability characteristics. Identifying these vulnerabilities is critical for effective flood risk reduction. Despite its significance, there is a paucity of techniques for identifying suitable Social Vulnerability Indic...

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Veröffentlicht in:	International journal of disaster risk reduction Jg. 127; S. 105693
Hauptverfasser:	Akindejoye, Adesola, Viavattene, Christophe, Priest, Sally, Windridge, David
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2025
Schlagworte:	Expectation maximization algorithm Permutation feature importance Support vector regression Vulnerability indicators Permutation feature importance Support vector regression Expectation maximization algorithm Vulnerability indicators
ISSN:	2212-4209, 2212-4209
Online-Zugang:	Volltext
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