References
- Appelhans, T., F. Detsch, C. Reudenbach, and S. Woellauer. 2018. Mapview: Interactive Viewing of Spatial Data in R. R package version 2.3.0. https://CRAN.R-project.org/package=mapview
- Appelhans, T., and K. Russell. 2017. Mapedit: Interactive Editing of Spatial Data in R. R package version 0.3.2. https://CRAN.R-project.org/package=mapedit
- Arandia, E., and B. J. Eck. 2018. “An R Package for EPANET Simulations.” Environmental Modelling & Software 107: 59–63. doi:10.1016/j.envsoft.2018.05.016.
- Ardia, D., K. M. Mullen, B. G. Peterson, and J. Ulrich. 2016. DEoptim: Differential Evolution in R. Version 2.2-4. https://CRAN.R-project.org/package=DEoptim
- Eck, B. J. 2016. “An R Package for Reading EPANET Files.” Environmental Modelling & Software 84: 149–154. Accessed 5 July 2017. http://linkinghub.elsevier.com/ retrieve/pii/S1364815216302870
- Eddelbuettel, D., and R. Francois. 2011. “Rcpp: Seamless R and C++ Integration.” Journal of Statistical Software 40 (8): 1–18. doi:10.18637/jss.v040.i08.
- Jassby, A., J. Cloern, and J. Stachalek. 2017. wql: Exploring Water Quality Monitoring Data. R package version 0.4-9. https://CRAN.R-project.org/package=wql
- Müller, K., and H. Wickham. 2017. Tibble: Simple Data Frames. R package version 1.4.1. https://CRAN.R-project.org/package=tibble
- Pebesma, E. 2018. sf: Simple Features for R. R package version 0.6-0. https://CRAN.R-project.org/package=sf
- Pebesma, E. J., and R. S. Bivand. 2005. “Classes and Methods for Spatial Data in R.” R News 5 (2): 9–13. https://CRAN.R-project.org/doc/Rnews/
- R Core Team. 2017. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/
- Rossman, L. A. 2000. EPANET - User’s Manual Version 2.0. Technical Report. Washington, DC: United States Environmental Protection Agency (US EPA).
- Rossman, L. A. 2010. Storm Water Management Model - User’s Manual Version 5.0. Technical Report. Cincinnati, OH: United States Environmental Protection Agency (US EPA).
- Ryan, J. A., and J. M. Ulrich. 2017. xts: EXtensible Time Series. R package version 0.10-1. https://CRAN.R-project.org/package=xts
- Sarkar, D. 2008. Lattice: Multivariate Data Visualization with R. New York: Springer. ISBN 978-0-387-75968-5. http://lmdvr.r-forge.r-project.org
- Torres-Matallana, J. 2016. Watersheds: Spatial Watershed Aggregation and Spatial Drainage Network Analysis. R package version 1.1. https://CRAN.R-project.org/package=Watersheds
- Turner, S., and S. Galelli. 2016. “Water Supply Sensitivity to Climate Change: An R Package for Implementing Reservoir Storage Analysis in Global and Regional Impact Studies.” Environmental Modelling & Software 76: 13–19. doi:10.1016/j.envsoft.2015.11.007.
- Vanderkam, D., J. J. Allaire, J. Owen, D. Gromer, P. Shevtsov, and B. Thieurmel. 2017. “Dygraphs: Interface to ’Dygraphs’ Interactive Time Series Charting Library.” https://CRAN.R-project.org/package=dygraphs
- Wickham, H. 2014. “Tidy Data.” Journal of Statistical Software 59 (10). Accessed 21 February 2018. http://www.jstatsoft.org/v59/i10/
- Wickham, H. 2016. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. http://ggplot2.org
- Wickham, H. 2017. Tidyverse: Easily Install and Load the ’Tidyverse’. R package version 1.2.1. https://CRAN.R-project.org/package=tidyverse
- Wickham, H., and G. Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1st ed. Sebastopol, CA: O’Reilly. OCLC: ocn968213225.
- Zambrano-Bigiarini, M. 2017. hydroGOF: Goodness-Of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series. R package version 0.3-10. https://CRAN.R-project.org/package=hydroGOF