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Data · dataset · 2026

Supplementary dataset for a knowledge-guided LLM-GIS framework for relative landslide risk screening in Hong Kong

Listed in Teesside University Research Data Repository

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”.

Description

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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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/xkmy96cy6p.113 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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