Articles | Volume 7, issue 3
https://doi.org/10.5194/gc-7-195-2024
https://doi.org/10.5194/gc-7-195-2024
GC Insights
 | 
30 Aug 2024
GC Insights |  | 30 Aug 2024

GC Insights: Open-access R code for translating the co-occurrence of natural hazards into impact on joint financial risk

John Hillier, Adrian Champion, Tom Perkins, Freya Garry, and Hannah Bloomfield

Viewed

Total article views: 815 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
619 140 56 815 52 49 51
  • HTML: 619
  • PDF: 140
  • XML: 56
  • Total: 815
  • Supplement: 52
  • BibTeX: 49
  • EndNote: 51
Views and downloads (calculated since 19 Dec 2023)
Cumulative views and downloads (calculated since 19 Dec 2023)

Viewed (geographical distribution)

Total article views: 815 (including HTML, PDF, and XML) Thereof 812 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Mar 2025
Download
Short summary
To allow for more effective use of climate science, this work proposes and evaluates an open-access R code that deploys a measure of how natural hazards (e.g. extreme wind and flooding) co-occur, is obtainable from scientific research and is usable in practice without restricted data (climate or risk) being exposed. The approach can be applied to hazards in various sectors (e.g. road, rail and telecommunications).
Share
Altmetrics
Final-revised paper
Preprint