Click the button below to build a personalized diet using a single jupyter notebook running on Python 3.6. No need to download any software.
Click the button below to build a database with country and month specific impacts for each food item using a single jupyter notebook running on Python 3.6. No need to download any software.
Relevant Columns are:
- Food Name (the name of the food item)
- totalGHG_all (a list of tuples of the countries that produce the food item in that month and the summed impacts of all life cycle stages)
- trade_impacts_GHG (these same impacts but only for countries that trade that item with the country of consumption)
- seasonal_landbio_updated (the biodiversity loss impacts for all countries that can potentially produce that item in that given month)
Details of this work are in the following publication:
Walker C, Pfister S, Hellweg S. Methodology and optimization tool for a personalized low environmental impact and healthful diet specific to country and season. J Ind Ecol 2021;00:1-14. https://doi.org/10.1111/jiec.13131