The study gathered publicly available information on coca eradication efforts by authorities in Central America and then analysed land usage of coca plantations and land coverage surrounding the coca fields. This data was fed to machine-learning land suitability models, commonly used to assess other crops, like palm, and the results were analysed by the paper’s authors.