diff --git a/README.md b/README.md index fe999d006258887aa163bf647ddff194d12028e5..c54c952980a81a91e91943a02018bee57a63f466 100644 --- a/README.md +++ b/README.md @@ -10,10 +10,7 @@ The user can add values to the sample or start a new series. The graphs do not mention explicitely "Q" as y_label, because this too can also be used for rainfall analysis illustration. Q(T) relationship are diplayed with uncertainty, with either return periods or frequency as absicissis. -It is so far in french, but an option for English captions is on its way (through a file with translations implemented a s dictionnaries) - -## HydroDemo_Sample2Gumbel2Damages is on its way -By adding the definition of a discharge-frequency table, for one or more land-uses, an spinoff named Sample2Gumbal2Damages computes the damages per land use and per event, as another chronological time-series, and compares the observes damages per land-use and total per year on average to the Annual Average Damage estimated from the damage-frequency curve. +It is so far in french, but an option for English captions is on its way (translations implemented as a dictionnaries in a separate python file) ## SEE WIKI PAGES FOR DETAILED EXPLANATIONS @@ -22,3 +19,8 @@ Benjamin Renard, Probabilités et Statistiques appliquées à l'Hydrologie : htt  + +## HydroDemo_Sample2Gumbel2Damages is on its way +By adding the definition of a discharge-frequency table, for one or more land-uses, an spinoff named Sample2Gumbal2Damages computes the damages per land use and per event, as another chronological time-series, and compares the observes damages per land-use and total per year on average to the Annual Average Damage estimated from the damage-frequency curve. + +