Literature DB >> 31209582

An R package for correcting continuous water quality monitoring data for drift.

Andrew R Shaughnessy1,2, Christopher G Prener3, Elizabeth A Hasenmueller4.   

Abstract

Continuous water quality monitoring ins- truments are used to understand the chemical and physical behaviors of aquatic environments over time. However, the data generated from these instruments are susceptible to inaccuracies due to drift that can occur between site visits. While there are several software packages available to correct drift in water quality data, these packages are often proprietary, expensive, and/or do not offer the user control over the data corrections. This paper describes driftR, an R package that corrects drift in water quality data. driftR implements either one- or two-point variable data corrections based on the number of standards used to calibrate the sensor of interest, then linearly interpolates the correction over the period of interest. This program gives control to users to correct each parameter in a way that is ideal for their unique stu- dies and offers a free, reproducible method for drift correction.

Entities:  

Keywords:  Continuous monitoring data; Drift corrections; R; Water quality

Mesh:

Year:  2019        PMID: 31209582     DOI: 10.1007/s10661-019-7586-x

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Addressing the need for interactive, efficient, and reproducible data processing in ecology with the datacleanr R package.

Authors:  Alexander G Hurley; Richard L Peters; Christoforos Pappas; David N Steger; Ingo Heinrich
Journal:  PLoS One       Date:  2022-05-12       Impact factor: 3.752

  1 in total

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