Retrieval functions for USGS and EPA hydrologic and water quality data.
For complete tutorial information, see:
https://rconnect.usgs.gov/dataRetrieval/
https://waterdata.usgs.gov/blog/dataretrieval/
library(dataRetrieval)
# Choptank River near Greensboro, MD
siteNumber <- "01491000"
ChoptankInfo <- readNWISsite(siteNumber)
parameterCd <- "00060"
# Raw daily data:
rawDailyData <- readNWISdv(
siteNumber, parameterCd,
"1980-01-01", "2010-01-01"
)
# Sample data Nitrate:
parameterCd <- "00618"
qwData <- readNWISqw(
siteNumber, parameterCd,
"1980-01-01", "2010-01-01"
)
pCode <- readNWISpCode(parameterCd)
specificCond <- readWQPqw(
siteNumbers = "WIDNR_WQX-10032762",
parameterCd = "Specific conductance",
startDate = "2011-05-01",
endDate = "2011-09-30"
)
features <- findNLDI(
nwis = "01491000",
nav = "UT",
find = c("basin", "wqp")
)
Please consider reporting bugs and asking questions on the Issues page: https://github.com/USGS-R/dataRetrieval/issues
Follow @USGS_R
on Twitter for updates on USGS R packages:
citation(package = "dataRetrieval")
#>
#> To cite dataRetrieval in publications, please use:
#>
#> De Cicco, L.A., Hirsch, R.M., Lorenz, D., Watkins, W.D., 2022,
#> dataRetrieval: R packages for discovering and retrieving water data
#> available from Federal hydrologic web services, v.2.7.11,
#> doi:10.5066/P9X4L3GE
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> author = {Laura A. {De Cicco} and David Lorenz and Robert M. Hirsch and William Watkins and Mike Johnson},
#> title = {dataRetrieval: R packages for discovering and retrieving water data available from U.S. federal hydrologic web services},
#> publisher = {U.S. Geological Survey},
#> address = {Reston, VA},
#> version = {2.7.11},
#> institution = {U.S. Geological Survey},
#> year = {2022},
#> doi = {10.5066/P9X4L3GE},
#> url = {https://code.usgs.gov/water/dataRetrieval},
#> }
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.
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("USGS-R/dataRetrieval",
build_opts = c("--no-resave-data", "--no-manual"),
build_vignettes = TRUE
)
This software is in the public domain because it contains materials that originally came from the U.S. Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy
Although this software program has been used by the U.S. Geological Survey (USGS), no warranty, expressed or implied, is made by the USGS or the U.S. Government as to the accuracy and functioning of the program and related program material nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith.
This software is provided “AS IS.”