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#' Site Data Import from Water Quality Portal
#'
#' Returns a list of sites from the Water Quality Portal web service. This function
#' gets the data from: \url{https://www.waterqualitydata.us}.
#' Arguments to the function should be based on
#' \url{https://www.waterqualitydata.us/webservices_documentation}. The return from
#' this function returns the basic metadata on WQP sites. It is
#' generally faster than the \code{\link{whatWQPdata}} function, but does
#' not return information on what data was collected at the site.
#'
#' The \code{readWQPsummary} function has
#'
#' @param \dots see \url{https://www.waterqualitydata.us/webservices_documentation}
#' for a complete list of options. A list of arguments can also be supplied.
#' One way to figure out how to construct a WQP query is to go to the "Advanced"
#' form in the Water Quality Portal:
#' \url{https://www.waterqualitydata.us/#mimeType=csv&providers=NWIS&providers=STORET}
#' Use the form to discover what parameters are available. Once the query is
#' set in the form, scroll down to the "Query URL". You will see the parameters
#' after "https://www.waterqualitydata.us/#". For example, if you chose "Nutrient"
#' in the Characteristic Group dropdown, you will see characteristicType=Nutrient
#' in the Query URL. The corresponding argument for dataRetrieval is
#' characteristicType = "Nutrient". dataRetrieval users do not need to include
#' mimeType, and providers is optional (these arguments are picked automatically).
#' @param legacy Logical. If TRUE, uses legacy WQP services. Default is TRUE.
#' Setting legacy = FALSE uses WQX3.0 WQP services, which are in-development, use with caution.
#' @keywords data import WQP web service
#' @rdname wqpSpecials
#' @name whatWQPsites
#' @seealso whatWQPdata readWQPsummary
#' @return data frame
#'
#' @export
#' @seealso whatNWISdata
#' @examplesIf is_dataRetrieval_user()
#' \donttest{
#'
#' site1 <- whatWQPsites(siteid = "USGS-01594440")
#'
#' type <- "Stream"
#' sites <- whatWQPsites(
#' countycode = "US:55:025",
#' characteristicName = "Phosphorus",
#' siteType = type
#' )
#' }
whatWQPsites <- function(..., legacy = TRUE) {
values <- readWQPdots(..., legacy = legacy)
values <- values$values
if ("tz" %in% names(values)) {
values <- values[!(names(values) %in% "tz")]
}
if ("service" %in% names(values)) {
values <- values[!(names(values) %in% "service")]
}
values <- sapply(values, function(x) utils::URLencode(x, reserved = TRUE))
if(legacy){
baseURL <- drURL("Station", arg.list = values)
} else {
baseURL <- drURL("StationWQX3", arg.list = values)
}
baseURL <- appendDrURL(baseURL, mimeType = "csv")
retval <- importWQP(baseURL)
if(!is.null(retval)){
attr(retval, "queryTime") <- Sys.time()
attr(retval, "url") <- baseURL
}
return(retval)
}
#' Summary of Data Available from Water Quality Portal
#'
#' Returns a list of sites with year-by-year information on what data is available.
#' The function gets the data from: \url{https://www.waterqualitydata.us}.
#' Arguments to the function should be based on
#' \url{https://www.waterqualitydata.us/webservices_documentation}.
#' The information returned from this function describes the
#' available data at the WQP sites, and some metadata on the sites themselves.
#'
#' @param \dots see \url{https://www.waterqualitydata.us/webservices_documentation}
#' for a complete list of options. A list of arguments can also be supplied.
#' One way to figure out how to construct a WQP query is to go to the "Advanced"
#' form in the Water Quality Portal:
#' \url{https://www.waterqualitydata.us/#mimeType=csv&providers=NWIS&providers=STORET}
#' Use the form to discover what parameters are available. Once the query is
#' set in the form, scroll down to the "Query URL". You will see the parameters
#' after "https://www.waterqualitydata.us/#". For example, if you chose "Nutrient"
#' in the Characteristic Group dropdown, you will see characteristicType=Nutrient
#' in the Query URL. The corresponding argument for dataRetrieval is
#' characteristicType = "Nutrient". dataRetrieval users do not need to include
#' mimeType, and providers is optional (these arguments are picked automatically).
#' @return A data frame from the data returned from the Water Quality Portal
#' @export
#' @seealso whatWQPsites whatWQPdata
#' @examplesIf is_dataRetrieval_user()
#' \donttest{
#' # Summary of a single site for the last 5 years:
#' site_5 <- readWQPsummary(
#' siteid = "USGS-07144100",
#' summaryYears = 5
#' )
#'
#' # Summary of a single site for the full period of record:
#' site_all <- readWQPsummary(
#' siteid = "USGS-07144100",
#' summaryYears = "all"
#' )
#'
#' # Summary of the data available from streams in a single county:
#' dane_county_data <- readWQPsummary(
#' countycode = "US:55:025",
#' summaryYears = 5,
#' siteType = "Stream"
#' )
#'
#' # Summary of the data all available from lakes in a single county:
#' lake_sites <- readWQPsummary(
#' siteType = "Lake, Reservoir, Impoundment",
#' countycode = "US:55:025"
#' )
#'
#' # Summary of the data available for the last 5 years in New Jersey:
#' state1 <- readWQPsummary(
#' statecode = "NJ",
#' summaryYears = 5,
#' siteType = "Stream"
#' )
#' }
readWQPsummary <- function(...) {
wqp_message()
values <- readWQPdots(...)
values <- values$values
if ("tz" %in% names(values)) {
values <- values[!(names(values) %in% "tz")]
}
if ("service" %in% names(values)) {
values <- values[!(names(values) %in% "service")]
}
if (!"dataProfile" %in% names(values)) {
values[["dataProfile"]] <- "periodOfRecord"
}
values <- sapply(values, function(x) utils::URLencode(x, reserved = TRUE))
baseURL <- drURL("SiteSummary", arg.list = values)
baseURL <- appendDrURL(baseURL, mimeType = "csv")
withCallingHandlers(
{
retval <- importWQP(baseURL,
csv = TRUE)
},
warning = function(w) {
if (any(grepl("Number of rows returned not matched in header", w))) {
invokeRestart("muffleWarning")
}
}
)
if(!is.null(retval)){
attr(retval, "queryTime") <- Sys.time()
attr(retval, "url") <- baseURL
}
return(retval)
}
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