README.Rmd

---
output: github_document
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

# openeddy_tutorials

## Overview

R Markdown interactive tutorials for [openeddy
package](https://github.com/lsigut/openeddy). Isolated use-cases
involving a small set of `openeddy` functions are demonstrated on a data
set. These include:

-   Read and write data with units

-   Remapping variable names

-   Merging data and filling gaps in timestamp

-   Plot types for viewing time series data

-   Flagging and removal of spurious measurements

-   Aggregation of gap-filled data and uncertainty evaluation

Although the primary focus of `openeddy` is on eddy covariance data, the
use-cases could be handy also for similar types of data, e.g. chamber
measurements, sap flow, etc.

## Installation

1.  Download the example data set `KrP16.csv` from Zenodo:
    <https://doi.org/10.5281/zenodo.7845893>

2.  Download the
    [openeddy_tutorials.Rmd](https://github.com/lsigut/openeddy_tutorials/blob/master/openeddy_tutorials.Rmd)
    file to the same folder as the data set

3.  Open the `openeddy_tutorials.Rmd` with RStudio

## Resources

-   A quick summary of openeddy and related resources is available in a
    form of a poster: <https://doi.org/10.5281/zenodo.8159040>

-   For the example of whole eddy covariance post-processing chain see
    [EC_workflow](https://github.com/lsigut/EC_workflow)

-   presentation with `openeddy` introduction and comments on EC
    workflow: <https://doi.org/10.5281/zenodo.16631376>

## Contact

Ladislav Šigut:
[sigut.l\@czechglobe.cz](mailto:sigut.l@czechglobe.cz){.email}

Global Change Research Institute CAS, Bělidla 4a, 603 00 Brno, CZ