Code for "Global coastal human settlement retreat driven by vulnerability to coastal climate hazards"

Fuente: Zenodo
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Xu, Lilai, Yang, Xue
Format: Recurso digital
Veröffentlicht: Zenodo 2024
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866902147015114752
author Xu, Lilai
Yang, Xue
author_facet Xu, Lilai
Yang, Xue
contents <p>Descriptions of the uploaded files:</p> <p>calculate_V_2.py: the calculation of proximity of human settlements to coastlines.</p> <p>MK.R: Mann–Kendall test of temporal trend for human settlement movement.</p> <p>LMM.R: the linear mixed model used to expore the determinants of movement of coastal human settlements.</p> <p>uncertainty.R: resampling experiment under three scenarios: 10%, 20%, and 30 % of the coastal sub-national regions were randomly removed from the dataset, then the mixed-effect regression models were reconstructed. This operation was repeated for 10000 times.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_16757827
institution Zenodo
language
publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle Code for "Global coastal human settlement retreat driven by vulnerability to coastal climate hazards"
Xu, Lilai
Yang, Xue
<p>Descriptions of the uploaded files:</p> <p>calculate_V_2.py: the calculation of proximity of human settlements to coastlines.</p> <p>MK.R: Mann–Kendall test of temporal trend for human settlement movement.</p> <p>LMM.R: the linear mixed model used to expore the determinants of movement of coastal human settlements.</p> <p>uncertainty.R: resampling experiment under three scenarios: 10%, 20%, and 30 % of the coastal sub-national regions were randomly removed from the dataset, then the mixed-effect regression models were reconstructed. This operation was repeated for 10000 times.</p>
title Code for "Global coastal human settlement retreat driven by vulnerability to coastal climate hazards"
url https://doi.org/10.5281/zenodo.16757827