Large-scale green grabbing for wind and solar PV development in Brazil

Large-scale green grabbing for wind and solar PV development in Brazil
This repository contains the R code and parts of the data used for the analysis in the paper "Large-scale green grabbing for wind and solar PV development in Brazil" by Michael Klingler, Nadia Amelie, Jamie Rickman, and Johannes Schmidt, available as pre-print.
Due to data sharing limitations, we cannot provide all data in the repository. Partly this data is not available publically at all (i.e. Bloomberg data, data by the instituto socio ambiental), partly the data has to be downloaded manually (CAR).
We still provide a repository which at least allows to understand the procedures we used during the analysis.
Land tenure data set
The procedures used to form our final land tenure data set can be found in land-tenure-data/processing.txt It is a mix of analyses in Python and in QGis.
Analysis of land tenure data and park ownership/investment information
The R-code to analyze the owernship relationships between windpark areas and investors/owners can be found in src/. All required libraries will install automatically.
The first two scripts cannot be executed due to data limitations. They create the sankey diagrams linking park areas to onwers and investors:
- 1.1-figures-results-1-wind.R
- 1.2-figures-results-1-solar.R
These three scripts are used to analyze the land tenure types prevailing on parks and comparing them to random areas. They should run with the provided data sets:
- 2-random-sampling-areas.R
- 3-intersection-parks-land-tenure.R
- 4-figures-land-tenure.R
This script validates our data against an independent data source. However, it cannot be run as it needs the proprietary Bloomberg database:
- 5-validation.R