cff-version: 1.2.0
abstract: "<p>This supplemental material supports the study "Optimizing multi-resolution topographic indicator combinations for debris flow susceptibility assessment based on factorial experiments and UMAP analysis".  It leveraging a factorial experimental design and UMAP analysis to systematically evaluated nearly 350,000 prediction results from RF, GBDT, and BPNN models. Then a multi-faceted assessment across seven dimensions revealed the impact of resolution combinations on susceptibility and identified each model&#x27;s optimal combination. The supplemental material 1 and 2 includes seven evaluation indices data of the debris flow susceptibility prediction results for all treatment combinations, and the supplemental material 3 and 4 includes Probability 1 (AUC ranked in the top 1000) and Probability 2（remaining six indices all ranked in the top 15%) data of each treatment combinations.</p>"
authors:
  - family-names: Alu
    given-names: Si
    orcid: "https://orcid.org/0000-0002-2465-8160"
  - family-names: Lai
    given-names: Quan
  - family-names: Guo
    given-names: Enliang
  - family-names: Wang
    given-names: Yongfang
  - family-names: Zhang
    given-names: Jiquan
title: "Supplemental Material underlying the publication: Optimizing multi-resolution topographic indicator combinations for debris flow susceptibility assessment based on factorial experiments and UMAP analysis"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/67fc83eb-5128-490d-a265-6b45943159a1.v1
license: CC BY 4.0
date-released: 2025-10-31