readWQPSample: Import Sample Data from the Water Quality Portal for WRTDS

In EGRET: Exploration and Graphics for RivEr Trends

Import Sample Data from the Water Quality Portal for WRTDS

Description

Imports data from the Water Quality Portal, so it could be STORET, USGS, or USDA data. This function gets the data from: https://www.waterqualitydata.us For raw data, use readWQPdata. This function will retrieve the raw data, compress it (summing constituents), then converts it to the Sample dataframe structure. See chapter 7 of the EGRET user guide for more details.

Usage

readWQPSample(siteNumber, characteristicName, startDate = "", endDate = "",
  verbose = TRUE)

Arguments

siteNumber	character site number. If USGS, it should be in the form :'USGS-XXXXXXXXX...'
characteristicName	character. Either a valid characteristic name, or a 5 digit USGS parameter code.
startDate	character starting date for data retrieval in the form YYYY-MM-DD. Default is empty quotes "" which will retrieve the full period of record.
endDate	character ending date for data retrieval in the form YYYY-MM-DD. Default is empty quotes "" which will retrieve the full period of record.
verbose	logical specifying whether or not to display progress message

Value

A data frame 'Sample' with the following columns:

Name	Type	Description
Date	Date	Date
ConcLow	numeric	Lower limit of concentration
ConcHigh	numeric	Upper limit of concentration
Uncen	integer	Uncensored data (1=TRUE, 0=FALSE)
ConcAve	numeric	Average concentration
Julian	integer	Number of days since Jan. 1, 1850
Month	integer	Month of the year [1-12]
Day	integer	Day of the year [1-366]
DecYear	numeric	Decimal year
MonthSeq	integer	Number of months since January 1, 1850
SinDY	numeric	Sine of the DecYear
CosDY	numeric	Cosine of the DecYear

See Also

readWQPdata, dataRetrieval::whatWQPsites, readWQPqw, compressData, populateSampleColumns

Examples

# These examples require an internet connection to run

# Sample_All <- readWQPSample('WIDNR_WQX-10032762','Specific conductance', '', '')

EGRET documentation built on April 18, 2023, 5:09 p.m.