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weatherindices

The goal of weatherindices is to facilitate the calculation of Weather Indices for crop yield modeling.

Installation

You can install the development version of weatherindices from GitHub

# install.packages("devtools")
devtools::install_github("akstat21/weatherindices")

Example

To calculate weather indices you require weekly weather data and yearly yield data. Both the data should be separate variables. The number of data points in weather variable should be multiple of numbers of years of yield data and number of weeks considered in each year.

library(weatherindices)
data(Burdwanweather) #Weekly weather data for the rice growing season in Burdwan
data(Burdwanriceyield) #Yearly Yield data of rice  in Burdwan
wwi.maxtem<-wwi(Burdwanriceyield$burdwan,Burdwanweather$Max.Temperature)
wwi.maxtem
##  [1] 33.14249 32.51634 35.96486 31.53676 34.88116 35.34955 33.88576 33.68535
##  [9] 34.35228 33.81517 33.76889 34.35719 33.42879 32.97895 33.25367 33.55808
## [17] 33.69856 34.04214 32.90105 30.63825 31.80091 32.37349 34.51790 32.84096
## [25] 35.32921 31.43451 32.36830 31.46721 34.06736 33.93954 32.20486 34.58240
## [33] 31.96571 33.42984 32.72208 33.19853 32.53645 32.91940 35.10816

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Version

Install

install.packages('weatherindices')

Monthly Downloads

118

Version

0.1.0

License

GPL (>= 3)

Maintainer

Akhilesh Kumar Gupta

Last Published

May 15th, 2023

Functions in weatherindices (0.1.0)

i.uwwi

Un-weighted Interaction Weather Indices
i.wwi

Weighted Interaction Weather Indices
uwwi

Un-weighted Weather Indices
wwi

Weighted Weather Indices
Burdwanriceyield

Yearly Yield data of rice in Burdwan district of West Bengal, India over 39 years
Burdwanweather

Weekly weather data for the rice growing season in Burdwan district of West Bengal, India over 39 years