c(person("Mauricio", "Zambrano-Bigiarini", email = "mzb.devel@gmail.com", role=c("aut", "cre", "cph") ) )

Time Series Management, Analysis and Interpolation for
Hydrological Modelling
e1071, gstat, automap, sp (>= 1.1-0), lattice, maptools,
stats, utils, methods, graphics, grDevices

Hydrological Tools for Handling Hydro-Meteorological Data from
Argentina and Chile
Read, plot, manipulate and process hydro-meteorological data from Argentina and Chile.
ggplot2, plotly, lubridate, utils, methods, readxl, reshape2

Groundwater data presentation and interpretation.
Contains one function for drawing Piper (also called Piper-Henn) digrammes from water analysis for major ions.

Groundwater data presentation and interpretation
Contains one function for drawing Piper diagrams (also
called Piper-Hill diagrams) of water analyses for major ions.

Groundwater Data Presentation and Interpretation

Hydrologic Network Linking Data and Tools
c( person("Tobi", "Hahn", role = c("aut"),
email = "hahnt2@rpi.edu"),
person("Luke", "Winslow", role = c("aut", "cre"),
email = "lawinslow@gmail.com"),
person("Taylor", "Leach", role = c("ctb"),
email = "leacht@rpi.edu"),
person("Kevin", "Rose", role = c("ths"),
email = "rosek4@rpi.edu"))
Tools to link geographic data with hydrologic network, including lakes, streams and rivers.
Includes automated download of U.S. National Hydrography Network and other hydrolayers.
dplyr, dbplyr, httr, tools, rappdirs, sf (>= 0.6), RSQLite,
units, stats
testthat, knitr, rmarkdown, dataRetrieval, USAboundaries,
ggplot2, gridExtra, kableExtra, R.rsp
Tobi Hahn [aut],
Luke Winslow [aut, cre],
Taylor Leach [ctb],
Kevin Rose [ths]

sp, dplyr, httr, tools, rappdirs, sf, RSQLite, units

dplyr, dbplyr, httr, tools, rappdirs, sf, RSQLite, units,
stats

testthat, knitr, rmarkdown, dataRetrieval, USAboundaries,
ggplot2, gridExtra, kableExtra

Detect and Characterize Sub-Daily Flow Fluctuations
c(person("Bettina", "Grün", role = c("cre", "ctb"),
email = "Bettina.Gruen@R-project.org",
comment = c(ORCID = "0000-0001-7265-4773")),
person("Julia", "Haider", role = "aut",
email = "julia.haider@posteo.at"),
person("Franz", "Greimel", role = "ctb",
email = "franz.greimel@boku.ac.at",
comment = c(ORCID = "0000-0002-8000-1227")))
An important environmental impact on running water ecosystems
is caused by hydropeaking - the discontinuous release of turbine water
because of peaks of energy demand. An event-based algorithm is implemented
to detect flow fluctuations referring to increase events (IC) and decrease
events (DC). For each event, a set of parameters related to the fluctuation
intensity is calculated: maximum flow fluctuation rate mafr(), mean flow
fluctuation rate mefr(), amplitude amp(), flow ratio fr(), and duration dur().
The framework is introduced in Greimel et al. (2016) "A method to detect
and characterize sub-daily flow fluctuations" <doi:10.1002/hyp.10773> and
can be used to identify different fluctuation types according to the potential
source: e.g., sub-daily flow fluctuations caused by hydropeaking, rainfall,
or snow and glacier melt.
rmarkdown, knitr, testthat (>= 3.0.0), data.table
Bettina Grün [cre, ctb] (<https://orcid.org/0000-0001-7265-4773>),
Julia Haider [aut],
Franz Greimel [ctb] (<https://orcid.org/0000-0002-8000-1227>)