Published October 15, 2021
| Version V1.0
Software
Open
Application for visual inspection of groundwater level time series
Authors/Creators
- 1. University of Latvia, Faculty of Geography and Earth Sciences
Description
Groundwater level time series visual inspection web application.
It is R Shiny application that assists visual analysis of groundwater level time series and ensures an approach to correct errors, while maintaining original data intact. Few simulated groundwater time series with errors are provided to demonstrate the application. The simulated data is stored in SQLite database.
This research is funded by the Latvian Council of Science, project “Spatial and temporal prediction of groundwater drought with mixed models for multilayer sedimentary basin under climate change”, project No. lzp-2019/1-0165.
Files
Groundwater-Level-Visual-Inspection-Application.zip
Files
(353.5 kB)
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Additional details
Related works
- Is supplement to
- Journal article: 10.1016/j.jhydrol.2021.127294 (DOI)
References
- Chang W., Cheng J., Allaire J., Xie Y., McPherson J. (2020) Shiny: Web Application Framework for R. R package version 1.5.0. https://CRAN.R-project.org/package=shiny
- R Core Team (2020) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
- Sievert C (2020) Interactive Web-Based Data Visualization with R, plotly, and shiny, Chapman and Hall/CRC, Florida. https://plotly-r.com
- Wickham H., Averic M., Bryan J., Chang W., McGowan L., François R., Grolemund G., Hayes A., Henry L., Hester J., Kuhn M., Pedersen T., Miller E., Bache S., Müller K., Ooms J., Robinson D., Seidel D., Spinu V., Takahashi K., Vaughan D., Wilke C., Woo K., Yutani H. (2019) Welcome to the Tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686