SWMPr: An R Package for Retrieving, Organizing, and Analyzing Environmental Data for Estuaries

The System-Wide Monitoring Program (SWMP) was implemented in 1995 by the US National Estuarine Research Reserve System. This program has provided two decades of continuous monitoring data at over 140 fixed stations in 28 estuaries. However, the increasing quantity of data provided by the monitoring network has complicated broad-scale comparisons between systems and, in some cases, prevented simple trend analysis of water quality parameters at individual sites. This article describes the SWMPr package that provides several functions that facilitate data retrieval, organization, and analysis of time series data in the reserve estuaries. Previously unavailable functions for estuaries are also provided to estimate rates of ecosystem metabolism using the open-water method. The SWMPr package has facilitated a cross-reserve comparison of water quality trends and links quantitative information with analysis tools that have use for more generic applications to environmental time series.

Marcus W Beck
2016-04-03

CRAN packages used

SWMPr, shiny, cents, wq, ggmap, StreamMetabolism

CRAN Task Views implied by cited packages

WebTechnologies, Environmetrics, Spatial, TimeSeries

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

Citation

For attribution, please cite this work as

Beck, "SWMPr: An R Package for Retrieving, Organizing, and Analyzing Environmental Data for Estuaries", The R Journal, 2016

BibTeX citation

@article{RJ-2016-015,
  author = {Beck, Marcus W},
  title = {SWMPr: An R Package for Retrieving, Organizing, and Analyzing Environmental Data for Estuaries},
  journal = {The R Journal},
  year = {2016},
  note = {https://doi.org/10.32614/RJ-2016-015},
  doi = {10.32614/RJ-2016-015},
  volume = {8},
  issue = {1},
  issn = {2073-4859},
  pages = {219-232}
}