readNWISuse | R Documentation |
Retrieves water use data from USGS Water Use Data for the Nation. See https://waterdata.usgs.gov/nwis/wu for more information. All available use categories for the supplied arguments are retrieved.
readNWISuse(
stateCd,
countyCd,
years = "ALL",
categories = "ALL",
convertType = TRUE,
transform = FALSE
)
stateCd |
could be character (full name, abbreviation, id), or numeric (id). Only one is accepted per query. |
countyCd |
could be character (name, with or without "County", or "ALL"),
numeric (id), or |
years |
integer Years for data retrieval. Must be years ending in 0 or 5. Default is all available years. |
categories |
character categories of water use. Defaults to "ALL". Specific categories must be supplied as two- letter abbreviations as seen in the URL when using the NWIS water use web interface. Note that there are different codes for national and state level data. |
convertType |
logical defaults to |
transform |
logical only intended for use with national data. Defaults to
|
A data frame with at least the year of record, and all available statistics for the given geographic parameters. County and state fields will be included as appropriate.
# All data for a county
allegheny <- readNWISuse(stateCd = "Pennsylvania", countyCd = "Allegheny")
# Data for an entire state for certain years
ohio <- readNWISuse(years = c(2000, 2005, 2010), stateCd = "OH", countyCd = NULL)
# Data for an entire state, county by county
pr <- readNWISuse(years = c(2000, 2005, 2010), stateCd = "PR", countyCd = "ALL")
# All national-scale data, transforming data frame to named columns from named rows
national <- readNWISuse(stateCd = NULL, countyCd = NULL, transform = TRUE)
# Washington, DC data
dc <- readNWISuse(stateCd = "DC", countyCd = NULL)
# data for multiple counties, with different input formatting
paData <- readNWISuse(stateCd = "42", countyCd = c("Allegheny County", "BUTLER", 1, "031"))
# retrieving two specific categories for an entire state
ks <- readNWISuse(stateCd = "KS", countyCd = NULL, categories = c("IT", "LI"))
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