- ERC-Funded RELATE Project Work Package Five repo for the data and code
- Accepted at Ecological Economics: https://doi.org/10.1016/j.ecolecon.2024.108410
- Author: Peter King (p.king1@leeds.ac.uk)
- Last Edited: 08/10/2024.
- Guide to replicating the paper from survey data
- This works locally on my machine and HPC so hopefully does for you too.
- Current issues:
- The model.rds and unconditionalWTP are too large for github so do not appear here.
- I have anonymised all location data where possible.
- For the full survey data please see: https://data.kent.ac.uk/480/
- If all the CEoutput isn't here, it is at the above official repo.
- We did loads of additional analysis which isn't here but ask me for it
- Using specialist and High-Performance Computing systems provided by Information Services at the University of Kent. Using RStudio and Apollo (Hess and Palma, 2019).
- This work was funded by the European Research Council (ERC) through the Horizon 2020 Research and Innovation Programme (Consolidator Grant no. 726104).
- Ethical approval for the data collection was granted by the School of Anthropology and Conservation Research Ethics Committee, University of Kent (Ref: 009-ST-19).
- CEModelData: Inputs for estimated models.
- CEModelScripts: Scripts to estimate choice models.
- CEoutput: Outputs from estimated models, split into models one and two.
- OtherData: Inputs to plotting, tables, cleaning and other scripts. Also Winter_dataframe_Step4.csv which is the final output
- OutherOutput: Misc tables and figures.
- OtherScripts: R scripts to manipulate data, present outputs, consumer surplus.
The workflow to replicate the paper is detailed in 00_Winter_StepByStep.r and I have numbered the scripts in the correct order.
Survey data collected using Qualtrics and a survey research company. Sample collected using quota sampling. Additional data from ONS.
R version 4.4.1 Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 11 x64 (build 19045) RStudio "2023.06.2+561" "Mountain Hydrangea"