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Main Authors: Radfar, Soheil, Boumis, Georgios, Moftakhari, Hamed
Format: Recurso digital
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Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.17096358
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author Radfar, Soheil
Boumis, Georgios
Moftakhari, Hamed
author_facet Radfar, Soheil
Boumis, Georgios
Moftakhari, Hamed
contents <p>This is the first public release (v1.0) of the CFnonStatViz repository, which contains all R scripts and datasets associated with the paper by Radfar et al. (2025) on the value of visualization in improving compound flood hazard communication. The repository includes correlation and angle-based analysis scripts for Washington, DC and Houston, TX case studies, survey visualization scripts for reproducing Figures 6–8 of the manuscript, and the underlying datasets (Washington-Q_S.csv, Houston-Q_SWL.csv, and Survey 1_Converted - Copy.xlsx). All scripts are written in R. Please cite the original paper (Radfar et al., 2025) and the Zenodo DOI of this release when using this code or data.</p>
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spellingShingle The value of visualization in improving compound flood hazard communication: a complementary perspective through a Euclidean geometry lens [data set and code]
Radfar, Soheil
Boumis, Georgios
Moftakhari, Hamed
<p>This is the first public release (v1.0) of the CFnonStatViz repository, which contains all R scripts and datasets associated with the paper by Radfar et al. (2025) on the value of visualization in improving compound flood hazard communication. The repository includes correlation and angle-based analysis scripts for Washington, DC and Houston, TX case studies, survey visualization scripts for reproducing Figures 6–8 of the manuscript, and the underlying datasets (Washington-Q_S.csv, Houston-Q_SWL.csv, and Survey 1_Converted - Copy.xlsx). All scripts are written in R. Please cite the original paper (Radfar et al., 2025) and the Zenodo DOI of this release when using this code or data.</p>
title The value of visualization in improving compound flood hazard communication: a complementary perspective through a Euclidean geometry lens [data set and code]
url https://doi.org/10.5281/zenodo.17096358