climat: Climate data
In multisensi: Multivariate Sensitivity Analysis
Description
Usage
Format
Source
Description
Climate data for the WWDM model (needed by the biomasse function)
Usage
1
Format
A data frame with 3126 observations on the following 4 variables.
ANNEEa factor with levels 1 to 14, indicating 14
different years
RGdaily radiation variable
Tmindaily maximum temperature
Tmaxdaily minimum temperature
Source
Makowski, D., Jeuffroy, M.-H., Gu\'erif, M., 2004 Bayesian methods for
updating crop model predictions, applications for predicting biomass and
grain protein content. In: Bayesian 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
multisensi documentation built on May 2, 2019, 2:14 p.m.
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Description Usage Format Source
Description
Climate data for the WWDM model (needed by the biomasse function)
Usage
1 |
Format
A data frame with 3126 observations on the following 4 variables.
ANNEEa factor with levels 1 to 14, indicating 14 different years
RGdaily radiation variable
Tmindaily maximum temperature
Tmaxdaily minimum temperature
Source
Makowski, D., Jeuffroy, M.-H., Gu\'erif, M., 2004 Bayesian methods for updating crop model predictions, applications for predicting biomass and grain protein content. In: Bayesian 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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