1. 17 Sep, 2021 2 commits
  2. 09 Sep, 2021 1 commit
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  5. 30 Aug, 2021 1 commit
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  7. 12 Aug, 2021 3 commits
  8. 11 Aug, 2021 5 commits
  9. 09 Aug, 2021 1 commit
  10. 30 Jul, 2021 2 commits
  11. 29 Jul, 2021 1 commit
  12. 03 Jun, 2021 1 commit
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  14. 11 May, 2021 1 commit
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  17. 22 Apr, 2021 4 commits
  18. 16 Apr, 2021 1 commit
  19. 14 Apr, 2021 2 commits
  20. 10 Apr, 2021 2 commits
  21. 28 Mar, 2021 1 commit
  22. 27 Mar, 2021 4 commits
    • Simon, Wolfram's avatar
      Started with the creation of the EU crop area validation data >> still needs... · da46409b
      Simon, Wolfram authored
      Started with the creation of the EU crop area validation data >> still needs finishing (see issues on git)
      da46409b
    • Simon, Wolfram's avatar
      NAL global file: SPAM_GGS_all_global_recspread_area_ratio.csv (27.03.2021) · 79a0a366
      Simon, Wolfram authored
      > No NA's > Only the **ratio of harvested area** for disaggregation. Like this, there is more consistency with the presence of nuts/veggies in adm1 zones. Otherwise, it happened that there is area but no production vice versa. Then you divide by 0 = inf.
      > No inf values: The inf values came from the division of P/H=Y calculation. The P was in all cases very low so I decided to simply recode them to 0. Then Yields would be also 0.
      > rounding fixed > 1 decimal like in the original dataset so we do not lose the level of detail.
      > Yield conversion (production in mt) checked and correct.
      > Aggregation to adm1 checked and correct.
      79a0a366
    • Simon, Wolfram's avatar
      NAL global file: SPAM_GGS_all_global_recspread_area_ratio.csv (27.03.2021) · f9d5c04d
      Simon, Wolfram authored
      > No NA's > Only the **ratio of harvested area** for disaggregation. Like this, there is more consistency with the presence of nuts/veggies in adm1 zones. Otherwise, it happened that there is area but no production vice versa. Then you divide by 0 = inf.
      > No inf values: The inf values came from the division of P/H=Y calculation. The P was in all cases very low so I decided to simply recode them to 0. Then Yields would be also 0.
      > rounding fixed > 1 decimal like in the original dataset so we do not lose the level of detail.
      > Yield conversion (production in mt) checked and correct.
      > Aggregation to adm1 checked and correct.
      f9d5c04d
    • Simon, Wolfram's avatar
      I fixed some computation problems. When I directly combined the SPAM datasets... · f2d762a6
      Simon, Wolfram authored
      I fixed some computation problems. When I directly combined the SPAM datasets before running all the aggregation functions on them, my computer with 100 GB ram could not process it. So I changed it back to the old version with single files and then at last combine the datasets. Now it worked. Issue: No difference when disaggregating with harv and prod propotions on final values. Check why!
      f2d762a6
  23. 23 Mar, 2021 2 commits