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. 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.
    This is a companion to the package 'hydroroute', which is used to detect and 
    follow hydropower plant-specific hydropeaking waves at the sub-catchment 
    scale and to describe how hydropeaking flow parameters change along the
    longitudinal flow path as proposed and validated in Greimel et al. (2022)
    <doi:10.1002/rra.3978>.

Provides statistical and graphical tools for
    the analysis of hydroponic crop production data. The package includes
    functions for descriptive statistical analysis, data visualization,
    correlation analysis, heatmap generation, and graphical summaries of
    plant growth and nutrient-related variables. These tools support
    researchers, students, and practitioners in evaluating crop
    performance and environmental conditions in hydroponic cultivation
    systems. The package utilizes standard statistical methods implemented
    in R for data exploration and visualization. Methods are described in
    James et al. (2021, ISBN:9781071614172) and Wickham (2016,
    ISBN:9783319242750).

Statistical functions used in the French 'HydroPortail' <https://hydro.eaufrance.fr/>.
    This includes functions to estimate distributions, quantile curves and uncertainties, along with various other utilities.
    Technical details are available (in French) in Renard (2016) <https://hal.inrae.fr/hal-02605318>.