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Analysis code for Nature Climate Change paper: A global assessment of actors and their roles in climate change adaptation

Home Page: https://www.nature.com/articles/s41558-023-01824-z

License: Creative Commons Zero v1.0 Universal

R 44.61% Python 55.39%
categorical-data-analysis chi-squared climate-adaptation climate-change climate-change-adaptation logistic-regression systematic-review

wia's Introduction

A global assessment of actors and their roles in climate change adaptation

R script for calculating ordered logisitic regression of categorical data

  • Ordered logistic regression for data set based on
  • Global Adaptation Mapping Initiative (GAMI)
  1. Data manipulation

  2. Generation of binary encoded dummy data from categorical variables

  3. (Ordered) logistic regression of 1 dependent variable (depth) and several independent variables

  4. Model output export

R script for calculating chi-squared test for actor/ role combinations

python script producing graphics for regional distributions of actor types per geography type

Project Info

Paper: Petzold, J., Hawxwell, T., Jantke, K., Gonçalves Gresse, E., Mirbach, C., Ajibade, I., ... & Garschagen, M. (2023). A global assessment of actors and their roles in climate change adaptation. Nature climate change, 13(11), 1250-1257. https://doi.org/10.1038/s41558-023-01824-z

https://www.transcend-project.org/ Contact: Charlotta Mirbach

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