README.md

In maibrittbergh/dischanalyst: Analyses Hydrological Data, especially Discharge Data

dischanalyst

The goal of dischanalyst is to offer an easy discharge analysis. Uses a statistical approach to analyse hydrological data. Was created for a low flow Analysis. Therefore a discharge time series is required. Helps to create a descriptive statistical and graphical summary of a dataset.

By combining the read-in, ordering and analysis functions, it is intended to simplify the workflow and serve as a useful tool to bundle several steps of the analysis and to enable a comprehensive analysis by integrating different approaches. By the fact that the functions are co-ordinated with each other, a smooth workflow is to be made possible.

Installation

You can install the development version of dischanalyst from GitHub with:

# install.packages("devtools")
devtools::install_github("maibrittbergh/dischanalyst")

Workflow

dischanalyst can be applied to the GRDC (https://www.bafg.de/GRDC/EN/Home/homepage_node.html) data set or to hydrological and climatological time series corresponding to the structure of the GRDC discharge measurement series. Accordingly, a date (YYYY-MM-DD) must be available for each daily measured value. As soon as a data set of this structure is available, it can be read in, structured and analyzed with the help of dischanalyst.

Structure

The structure of the package corresponds to the structure of the Web application (https://github.com/maibrittbergh/dischanalapp). It is possible to either do a station-related analysis or an area-wide (Germany-wide) analysis. Therefore, the package contains:

1. Functions for reading in and structuring the data
2. Functions for the statistical analysis of individual measurement series. These include descriptive analyses, threshold-based and non-threshold-based low water analysis, and trend analysis.
3. Functions to generate and understand Germany-wide low water trends

Since the package was developed with the objective of a “low water analysis for Germany”, there are few functions that are exclusively applicable to the Germany-wide analysis and also the representative stations that are partially integrated into the analysis are exclusively available for Germany. Apart from these limitations, a comprehensive descriptive and a low water analysis with the R package is also possible for any other country for which data are available.

Examples

Station based Analysis

        trendpl=function(){
          if (input$trendpltype=="Trend der Minimumwerte"){

            plotr=Qmin_trend(data=data2,  station=stat_name, mod=1) 
            return(plotr)
          }
          if (input$trendpltype=="NMxQ-Trend"){
            x_val=input$xVALUE

            plotr=NMxQ_trend(data=data2,  station=stat_name, x=x_val, seasonal=season, graphic=T)
            return(plotr)
          }
          if (input$trendpltype=="Trend der Mittelwerte"){


            plotr=MQ_trend(data=data2,  station=stat_name, seasonal=seas )
            return(plotr)
          }
        } 

A possible Output:

Area wide Analysis

Examples generated Webapp: (https://github.com/maibrittbergh/dischanalapp) Please check out the Website for further information!

maibrittbergh/dischanalyst documentation built on May 13, 2022, 1:52 a.m.