https://github.com/mps9506/bmp-synthesis-manuscript
https://github.com/mps9506/bmp-synthesis-manuscript
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/mps9506/bmp-synthesis-manuscript
- Owner: mps9506
- Created: 2024-01-17T21:40:54.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-24T19:49:45.000Z (8 months ago)
- Last Synced: 2025-02-24T06:41:38.982Z (3 months ago)
- Language: TeX
- Size: 28.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
README
---
output: github_document
---
# A meta-analysis of the impacts of best management practices on nonpoint source pollutant concentration
[](https://doi.org/10.5281/zenodo.10795231)
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
This repository contains the data and analysis used in:
Schramm, M., Kikoyo, D., Wright, J., Jain, S. (2024) [*"A meta-analysis of the impacts of best management practices on nonpoint source pollutant concentration,"*](https://doi.org/10.3389/frwa.2024.1397615). Frontiers in Water. doi:10.3389/frwa.2024.1397615.
This project uses `{targets}` as the main organizing workflow. The `_targets.R` file defines the steps of the project workflow amd functions for those setps are stored in the `R/` directory. `renv` is used to manage package versions. To reproduce locally, clone or download this project to your computer. Open the project with RStudio or other IDE.
In the console:
```r
renv::restore()
```
then use `targets::tar_make()` to execute the project pipeline. Each step in the pipeline can be accessed with the `targets::tar_read()` function. For example, `targets::tar_read(tn_model)` will access the model object we fit to the total nitrogen data.
## Funding Statement
This project was funded by a nonpoint source grant from the Texas State Soil and Water Conservation Board.
## Working Environment Info
```{r}
renv::diagnostics()
```