Updating that data here was overdue.. so here we go.. fresh new data from 2019+2020! 🎉
Reasoning
For my future self: Yes, again for SC we use area, which kinda makes sense, because that is what is mapped.
I (again?) used the average of the two latest available years of the FAO data, i.e. 2019 and 2020. Given that 2020 was the first year with Covid, and I guess (without having looked) that this could have an influence of the production of crops etc., I guess this is a good idea.
I switched to FAOs internal/own database mapping for countries and only modified the DB (finally now documented... uff, how I hate maintaining legacy software :upside_down_face:) and made that somewhat creepy grep thing for converting the country codes more robust
Updating that data here was overdue.. so here we go.. fresh new data from 2019+2020! 🎉
Reasoning
Changes
Sanity-check
Here a sanity check for Germany: The current result is: https://github.com/rugk/crops-parser/blob/bd04f16773fd5c93a4964476a102c2cd400d31c9/result/OsmOnly/mostAreaHarvest_2019%2B2020.yml#L49
And the tonnes metric yields a very similar result: https://github.com/rugk/crops-parser/blob/bd04f16773fd5c93a4964476a102c2cd400d31c9/result/OsmOnly/mostTonnesHarvest_2019%2B2020.yml#L49
(E.g. strawberry and tomato yield more tonnes aka "production quantity" per ha than hop or so, which also sounds very reasonable.)
2017 there was a quite similar result: https://github.com/rugk/crops-parser/blob/bd04f16773fd5c93a4964476a102c2cd400d31c9/result/old/OsmOnly/mostAreaHarvest_2017.yml#L53
https://github.com/rugk/crops-parser/blob/bd04f16773fd5c93a4964476a102c2cd400d31c9/result/old/OsmOnly/mostTonnesHarvest_2017.yml#L53