| Title: | Calculate Weather Indices |
| Version: | 0.1.0 |
| 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. |
| License: | GPL (≥ 3) |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.1.2 |
| Depends: | R (≥ 2.10) |
| LazyData: | true |
| Suggests: | testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| NeedsCompilation: | no |
| Packaged: | 2023-05-12 19:50:27 UTC; dell |
| Author: | Akhilesh Kumar Gupta
 [aut, cph,
cre],
Kader Ali Sarkar [ths],
Digvijay Singh Dhakre [ths],
Debasis Bhattacharya [ths] |
| Maintainer: | Akhilesh Kumar Gupta <akhileshgupta.ouat@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2023-05-15 08:30:02 UTC |
Yearly Yield data of rice in Burdwan district of West Bengal, India over 39 years
Description
Contains the Years and yield data in Tonnes per hectare
Usage
Burdwanriceyield
Format
A data frame with 39 rows of 2 variables
- Year
starting year of data
- burdwan
rice yield data of burdwan district
Source
Bureau of Applied Economics and Statistics (BAES), Department of Planning, Statistics and Programme Monitoring (PSPM), Government of West Bengal and Area and Production Statistics portal (https://aps.dac.gov.in/APY/Public_Report1.aspx) of Ministry of Agriculture and Farmers Welfare, Government of India.
Examples
data(Burdwanriceyield)
Weekly weather data for the rice growing season in Burdwan district of West Bengal, India over 39 years
Description
Contains the date, standard meteorological week, week number and four weather variables
Usage
Burdwanweather
Format
A data frame with 741 rows of 7 variables
- Date
starting date of data
- SMW
Standard Meteorological Week
- Week
week number of crop growing season
- Max.Temperature
Daily Maximum temperature data averaged over week
- Min.Temperature
Daily Minimum temperature data averaged over week
- Precipitation
Daily Rainfall data summed over week
- Relative.Humidity
Daily Relative.Humidity data averaged over week
Source
NASA Power Data Access Viewer(https://power.larc.nasa.gov/data-access-viewer/)
Examples
data(Burdwanweather)
Un-weighted Interaction Weather Indices
Description
Converts the weekly interaction of two weather variable into yearly weighted interaction weather indices
Usage
i.uwwi(y, weatherp1, weatherp2)
Arguments
y |
A vector of yearly yield data for t years |
weatherp1 |
Weekly weather data for t years as vector of first weather variable(total observations= number of years*number of weeks in each year) |
weatherp2 |
Weekly weather data for t years as vector of second weather variable(total observations= number of years*number of weeks in each year) |
Value
A vector of interaction weather indices
References
Jain, R. C., Agrawal, R., & Jha, M. P. (1980). Effect of climatic variables on rice yield and its forecast. MAUSAM, 31(4), 591-596.
Examples
data(Burdwanweather) #Weekly weather data for the rice growing season in Burdwan
data(Burdwanriceyield) #Yearly Yield data of rice in Burdwan
i.uwwi.maxmintem<-i.uwwi(Burdwanriceyield$burdwan,Burdwanweather$Max.Temperature,
Burdwanweather$Min.Temperature)
i.uwwi.maxmintem
Weighted Interaction Weather Indices
Description
Converts the weekly interaction of two weather variable into yearly weighted interaction weather indices with weights being the correlation coefficient between weekly weather data over the years and crop yield over the years
Usage
i.wwi(y, weatherp1, weatherp2)
Arguments
y |
A vector of yearly yield data for t years |
weatherp1 |
Weekly weather data for t years as vector for first weather variable(total observations= number of years*number of weeks in each year) |
weatherp2 |
Weekly weather data for t years as vector for second weather variable(total observations= number of years*number of weeks in each year) |
Value
A vector of interaction weather indices
References
Jain, R. C., Agrawal, R., & Jha, M. P. (1980). Effect of climatic variables on rice yield and its forecast. MAUSAM, 31(4), 591-596.
Examples
data(Burdwanweather) #Weekly weather data for the rice growing season in Burdwan
data(Burdwanriceyield) #Yearly Yield data of rice in Burdwan
i.wwi.maxmintem<-i.wwi(Burdwanriceyield$burdwan,Burdwanweather$Max.Temperature,
Burdwanweather$Min.Temperature)
i.wwi.maxmintem
Un-weighted Weather Indices
Description
Converts the weekly weather data into yearly un-weighted weather indices(simply averaged)
Usage
uwwi(y, weatherp)
Arguments
y |
A vector of yearly yield data for t years |
weatherp |
Weekly weather data for t years as vector (total observations= number of years*number of weeks in each year) |
Value
A vector of weather indices
References
Jain, R. C., Agrawal, R., & Jha, M. P. (1980). Effect of climatic variables on rice yield and its forecast. MAUSAM, 31(4), 591-596.
Examples
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
Weighted Weather Indices
Description
Converts 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
Usage
wwi(y, weatherp)
Arguments
y |
A vector of yearly yield data for t years |
weatherp |
Weekly weather data for t years as vector (total observations= number of years*number of weeks in each year) |
Value
A vector of weather indices
References
Jain, R. C., Agrawal, R., & Jha, M. P. (1980). Effect of climatic variables on rice yield and its forecast. MAUSAM, 31(4), 591-596.
Examples
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