adamhsparks/EddyCleanR: Functions to Filter and Gap Fill Eddy Covariance Data and Calculate et Values

This package provides functions to filter and gap fill eddy covariance data to calcuate evapotranspiration (et) values. The International Rice Research Institute (IRRI) uses it to calculate irrigation needs for the Ecological Intensification research platform.

Getting started

Package details

MaintainerAdam H Sparks, <adamhsparks@gmail.com>
LicenseMIT + file LICENSE
Version1.2.2
URL https://github.com/adamhsparks/EddyCleanR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("adamhsparks/EddyCleanR")
adamhsparks/EddyCleanR documentation built on Dec. 15, 2022, 2:47 a.m.