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Budyko Index is based on characteristics of the surface heat and water balance.
bi(data, pr, data_names = NULL, na.rm = FALSE, ...)
net radiation, surface solar radiation downwards, J/m2
precipitation
names of each period of time
logical. Should missing values (including NaN) be removed?
...
Budyko Index
$$BI = 100\frac {Rn}{L*P}$$ Rn= annual net radiation, P = annual precipitation, L = latent heat of vaporization for water
Budyko M.I. The Heat Balance of the Earth's Surface U.S. Department of Commerce, Washington D.C (1958) 259 pp., translated by N.A. Stepanova
# NOT RUN { data(data_all) bi(data = data_all$radiation, pr = data_all$rr) # }
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