Description References See Also Examples
This dataset gives climatic data needed by the WWDM
crop model model.
ANNEE
numeric
, year of weather data: from 1 to 14.
RG
Global Radiation
Tmin
Minimal temperature
Tmax
Maximal temperature
Makowski, D., Jeuffroy, M.-H., Gu\'erif, M., 2004. Bayseian methods for updating crop model predictions, applications for predicting biomass and grain protein content. In: Bayseian Statistics and Quality Modelling in the Agro-Food Production Chain (van Boeakel et al. eds), pp. 57-68. Kluwer, Dordrecht.
Monod, H., Naud, C., Makowski, D., 2006. Uncertainty and sensitivity analysis for crop models. In: Working with Dynamic Crop Models (Wallach D., Makowski D. and Jones J. eds), pp. 55-100. Elsevier, Amsterdam.
1 2 3 4 5 6 7 | data(wwdm.climates)
summary(wwdm.climates)
wwdm.climates[1:20,]
par(mfrow=c(3,1)) ;
for(i in 1:3) ts.plot(wwdm.climates[ wwdm.climates[,1]==1,1+i],
ylab=names(wwdm.climates[1+i])
)
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