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weatherindices  

Calculate Weather Indices
View on CRAN: Click here


Download and install weatherindices package within the R console
Install from CRAN:
install.packages("weatherindices")

Install from Github:
library("remotes")
install_github("cran/weatherindices")

Install by package version:
library("remotes")
install_version("weatherindices", "0.1.0")



Attach the package and use:
library("weatherindices")
Maintained by
Akhilesh Kumar Gupta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-15
Latest Update: 2023-05-15
Description:
Weather indices represent the overall weekly effect of a weather variable on crop yield throughout the cropping season. This package contains functions that can convert the weekly weather data into yearly weighted Weather indices with weights being the correlation coefficient between weekly weather data over the years and crop yield over the years. This can be done for an individual weather variable and for two weather variables at a time as the interaction effect. This method was first devised by Jain, RC, Agrawal R, and Jha, MP (1980), "Effect of climatic variables on rice yield and its forecast",MAUSAM, 31(4), 591–596, <doi:10.54302/mausam.v31i4.3477>. Later, the method have been used by various researchers and the latest can found in Gupta, AK, Sarkar, KA, Dhakre, DS, & Bhattacharya, D (2022), "Weather Based Potato Yield Modelling using Statistical and Machine Learning Technique",Environment and Ecology, 40(3B), 1444–1449,<https://www.environmentandecology.com/volume-40-2022>.
How to cite:
Akhilesh Kumar Gupta (2023). weatherindices: Calculate Weather Indices. R package version 0.1.0, https://cran.r-project.org/web/packages/weatherindices. Accessed 06 Jan. 2025.
Previous versions and publish date:
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Complete documentation for weatherindices
Functions, R codes and Examples using the weatherindices R package
Some associated functions: Burdwanriceyield . Burdwanweather . i.uwwi . i.wwi . uwwi . wwi . 
Some associated R codes: unweightedinteractionweatherindices.R . unweightedweatherindices.R . weatherdata.R . weightedinteractionweatherindices.R . weightedweatherindices.R . yielddata.R .  Full weatherindices package functions and examples
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