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If you would like to use the ForestForesight package you need some basic scripting knowledge in R. We have provided the following twenty questions to test your knowledge. If you can successfully answer about 90% 60% of them you have the required skills to use ForestForesight the package. The answers are at the bottom
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If you want to start using your own datasets you also have to know how to handle spatial data, especially in R because the rest of the software is written in R as well. We have provided the following 15 questions. Again, scoring about 90% 60% should be sufficient to feel confident about integrating your own datasets.
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Forest Foresight uses XGBoost to predict deforestation. This is a machine learning algorithm. Some basic knowledge of machine learning is recommended to continue using the open source alternative. Test your knowledge below. Again, scoring about 90% 60% should prove sufficient to continue with ForestForesight. When you want to start tweaking ff_train we recommend getting a more thorough understanding of XGBoost. Look here for more resources on this topic: External Resources
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