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CLimd
View on CRAN: Click
here
Download and install CLimd package within the R console
Install from CRAN:
install.packages("CLimd")
Install from Github:
library("remotes")
install_github("cran/CLimd")
Install by package version:
library("remotes")
install_version("CLimd", "0.1.0")
Attach the package and use:
library("CLimd")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-10
Latest Update: 2024-01-10
Description:
The developed function is a comprehensive tool for the analysis of India Meteorological Department (IMD) NetCDF rainfall data. Specifically designed to process high-resolution daily
gridded rainfall datasets. It provides four key functions to process IMD NetCDF rainfall data and create rasters for various temporal scales, including annual, seasonal, monthly, and weekly
rainfall. For method details see, Malik, A. (2019).. It supports different aggregation methods, such as sum, min, max, mean, and standard deviation. These functions
are designed for spatio-temporal analysis of rainfall patterns, trend analysis,geostatistical modeling of rainfall variability, identifying rainfall anomalies and extreme events and can be an input
for hydrological and agricultural models.
How to cite:
Nobin Chandra Paul (2024). CLimd: Generating Rainfall Rasters from IMD NetCDF Data. R package version 0.1.0, https://cran.r-project.org/web/packages/CLimd. Accessed 24 Dec. 2024.
Previous versions and publish date:
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