Supplementary dataset for a knowledge-guided LLM-GIS framework for relative landslide risk screening in Hong Kong
Published: 24 August 2026| Version 1 | DOI: 10.17632/xkmy96cy6p.1
Contributors:
Tao Yan, Zhen-Yu Yin, Shui-Long Shen, Ning Zhang, Dong-Bin YinDescription
This dataset provides the numerical records supporting the study “Knowledge-guided LLM-GIS framework for relative landslide risk screening and risk-informed management in Hong Kong”. It includes the complete 100-step Mode A candidate-formulation sequence, the 100-step Mode B weighting-refinement trajectory, evaluation metrics, ROC data, sensitivity analyses, factor weights, normalisation settings, sample-level screening scores, and regional risk-classification thresholds. These data are provided to support transparency, auditability, and reproducibility of the deterministic GIS calculations and the LLM-assisted rule-generation workflow.
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Categories
Risk Assessment, Knowledge-Grounded LLM