Package: CLimd
Type: Package
Title: Generating Rainfall Rasters from IMD NetCDF Data
Version: 0.1.0
Authors@R: c(person("Nirmal","Kumar", role=c("aut","cph")),person("Nobin Chandra","Paul",role=c("aut","cre"),email="nobin.paul@icar.gov.in"),person("G.P. Obi","Reddy",role="aut"))
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
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).<DOI:10.1007/s12517-019-4454-5>. 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.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: raster,ncdf4,qpdf
RoxygenNote: 7.2.3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-13 07:25:34 UTC; root
Author: Nirmal Kumar [aut, cph], Nobin Chandra Paul [aut, cre], G.P.
        Obi Reddy [aut]
Maintainer: Nobin Chandra Paul <nobin.paul@icar.gov.in>
Repository: https://cran.r-universe.dev
Date/Publication: 2024-01-11 02:39:39 UTC
RemoteUrl: https://github.com/cran/CLimd
RemoteRef: HEAD
RemoteSha: db93e693430107da4c4d6209fcd61e2ff248888e