In USGS-R/dataRetrieval: Retrieval Functions for USGS and EPA Hydrology and Water Quality Data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/",
  warning = FALSE,
  message = FALSE,
  fig.height = 7,
  fig.width = 7
)
library(dataRetrieval)

dataRetrieval

The dataRetrieval package was created to simplify the process of loading hydrologic data into the R environment. It is designed to retrieve the major data types of U.S. Geological Survey (USGS) hydrology data that are available on the Web, as well as data from the Water Quality Portal (WQP), which currently houses water quality data from the Environmental Protection Agency (EPA), U.S. Department of Agriculture (USDA), and USGS. Direct USGS data is obtained from a service called the National Water Information System (NWIS).

:warning: USGS discrete water-quality data availability and format are changing. Beginning March 11, 2024 USGS data obtained from legacy services will not include new USGS data or recent updates to existing data. To view the status of changes in data availability and code functionality, visit: https://doi-usgs.github.io/dataRetrieval/articles/Status.html

:warning: All documentation on https://doi-usgs.github.io/dataRetrieval assume you have the development version of dataRetrieval installed. To do that:

library(remotes)
install_github("DOI-USGS/dataRetrieval",
               build_vignettes = TRUE, 
               build_opts = c("--no-resave-data",
                              "--no-manual"))

If you have additional questions about these changes, email [e-mail].

What would you like to do?

1. Get instantaneous USGS discharge data. Start here: ?readNWISuv

2. Get daily USGS discharge data. Start here: ?readNWISdv

3. Get USGS groundwater data. Start here: ?readNWISgwl

4. Get discrete water quality data. Start here: ?readWQPdata

5. Discover USGS data (not including discrete water quality data). Start here: ?whatNWISdata

6. Find Hydro Network-Linked Data Index (NLDI) data. Start here: ?findNLDI

For additional tutorials, see:

Basic Tutorial

dataRetrieval Introduction 1

dataRetrieval Introduction 2

Installation of dataRetrieval

To install the dataRetrieval package, you must be using R 3.0 or greater and run the following command:

install.packages("dataRetrieval")

To get cutting-edge changes, install from GitHub using the remotes packages:

library(remotes)
install_github("DOI-USGS/dataRetrieval",
               build_vignettes = TRUE, 
               build_opts = c("--no-resave-data",
                              "--no-manual"))

Reporting bugs

Please consider reporting bugs and asking questions on the Issues page: https://github.com/DOI-USGS/dataRetrieval/issues

Citations

Citing the dataRetrieval package

citation(package = "dataRetrieval")

Citing NWIS data

U.S. Geological Survey, 2023, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed [April 26, 2023], at http://waterdata.usgs.gov/nwis/. http://dx.doi.org/10.5066/F7P55KJN

This can be done using the create_NWIS_bib function:

dv <- readNWISdv("09010500", "00060")

NWIScitation <- create_NWIS_bib(dv)

NWIScitation
print(NWIScitation, style = "Bibtex")

Citing WQP data

Citations for specific datasets should use this format:

National Water Quality Monitoring Council, YYYY, Water Quality Portal, accessed mm, dd, yyyy, hyperlink_for_query, https://doi.org/10.5066/P9QRKUVJ.

This can be done using the create_WQP_bib function:

SC <- readWQPqw(siteNumbers = "USGS-05288705",
                parameterCd = "00300")

WQPcitation <- create_WQP_bib(SC)
WQPcitation
print(WQPcitation, style = "Bibtex")

Citing Water Quality Portal itself

General Water Quality Portal citations should use the following:

Water Quality Portal. Washington (DC): National Water Quality Monitoring Council, United States Geological Survey (USGS), Environmental Protection Agency (EPA); 2021. https://doi.org/10.5066/P9QRKUVJ.

Package Support

The Water Mission Area of the USGS supports the development and maintenance of dataRetrieval, and most likely further into the future. Resources are available primarily for maintenance and responding to user questions. Priorities on the development of new features are determined by the dataRetrieval development team. This software was last released with USGS record: IP-147158.

USGS-R/dataRetrieval documentation built on Nov. 5, 2024, 9:18 p.m.