Diverse climate actors show limited coordination in a large-scale text analysis of strategy documents
Creators
- 1. University of North Carolina-Chapel Hill
- 2. University of Chicago
Description
Data availability
Code and data to reproduce figures is available on figshare (https://doi.org/10.6084/m9.figshare.13501701). CDP data were provided under a license to A.Hsu and prohibits public resharing of climate strategy disclosure data that was used for this analysis. All other data were compiled into a single database in comma delimited format (.csv) format from publicly available sources, which are detailed in Supplementary Table 1. Contextual data for subnational actors was extracted from the ClimActor database (https://doi.org/10.1038/s41597-020-00682-0).
All statistical analyses were conducted using the R statistical programming environment (Version 3.6.2) and the stm package for the topic analysis. The quanteda package was used for word collocation analysis. Figures were made using the ggplot package in R. For the network analysis, the tidytext, stm and Textnets were used. Gephi was used to generate and analyze the geographic network graphs presented, and the Python package NLTK was used for minor pre-processing tasks. Pandas and Numpy were also used for dataframe and matrix manipulations, and some additional plotting was done with Matplotlib. R and python code to reproduce the figures is available upon reasonable request.
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Additional details
Identifiers
- DOI
- 10.1038/s43247-021-00098-7
- Other
- oai:uchicago.tind.io:14581