#' USGS data availability
#'
#' Imports a table of available parameters, period of record, and count. See
#' \url{https://waterservices.usgs.gov/docs/site-service/}
#' for more information.
#'
#' @param \dots see \url{https://waterservices.usgs.gov/docs/site-service/}
#' for a complete list of options. A list of arguments can also be supplied.
#' @param convertType logical, defaults to \code{TRUE}. If \code{TRUE}, the function will
#' convert the data to dates, datetimes,
#' numerics based on a standard algorithm. If false, everything is returned as a character
#' @keywords data import USGS web service
#'
#' @details This function requires users to create their own arguments
#' based on the NWIS web services. It is a more complicated function to use
#' compared to other NWIS functions such as \code{\link{readNWISdv}}, \code{\link{readNWISuv}},
#' etc. However, this function adds a lot of
#' flexibility to the possible queries. If the "service" argument is included,
#' the results will be filtered to the proper data_type_cd. This is a great
#' function to use before a large data set, by filtering down the number
#' of sites that have useful data.
#'
#'
#' @return A data frame with the following columns:
#' \tabular{lll}{
#' Name \tab Type \tab Description \cr
#' agency_cd \tab character \tab The NWIS code for the agency reporting the data\cr
#' site_no \tab character \tab The USGS site number \cr
#' station_nm \tab character \tab Site name \cr
#' site_tp_cd \tab character \tab Site type \cr
#' dec_lat_va \tab numeric \tab Decimal latitude\cr
#' dec_long_va \tab numeric \tab Decimal longitude \cr
#' coord_acy_cd \tab character \tab Latitude-longitude accuracy \cr
#' dec_coord_datum_cd \tab character \tab Decimal Latitude-longitude datum \cr
#' alt_va \tab character \tab Altitude of Gage or land surface \cr
#' alt_acy_va \tab character \tab Altitude accuracy \cr
#' alt_datum_cd \tab character \tab Altitude datum \cr
#' huc_cd \tab character \tab Hydrologic unit code \cr
#' data_type_cd \tab character \tab Data type \cr
#' parm_cd \tab character \tab Parameter code \cr
#' stat_cd \tab character \tab Statistical code \cr
#' dd_nu \tab character \tab Internal database key \cr
#' loc_web_ds \tab character \tab Additional measurement description \cr
#' medium_grp_cd \tab character \tab Medium group code \cr
#' parm_grp_cd \tab character \tab Parameter group code \cr
#' srs_id \tab character \tab SRS ID \cr
#' access_cd \tab character \tab Access code \cr
#' begin_date \tab Date \tab Begin date \cr
#' end_date \tab Date \tab End date \cr
#' count_nu \tab integer \tab Record count\cr
#' parameter_group_nm \tab character \tab Parameter group name \cr
#' parameter_nm \tab character \tab Parameter name \cr
#' casrn \tab character \tab Chemical Abstracts Service (CAS) Registry Number \cr
#' srsname \tab character \tab Substance Registry Services \cr
#' parameter_units \tab character \tab Parameter units \cr
#' }
#'
#' There are also several useful attributes attached to the data frame:
#' \tabular{lll}{
#' Name \tab Type \tab Description \cr
#' url \tab character \tab The url used to generate the data \cr
#' comment \tab character \tab Header comments from the RDB file \cr
#' queryTime \tab POSIXct \tab The time the data was returned \cr
#' }
#' @export
#' @examplesIf is_dataRetrieval_user()
#' \donttest{
#'
#' availableData <- whatNWISdata(siteNumber = "05114000")
#'
#' # To find just unit value ('instantaneous') data:
#' uvData <- whatNWISdata(siteNumber = "05114000",
#' service = "uv")
#' uvDataMulti <- whatNWISdata(siteNumber = c("05114000", "09423350"),
#' service = c("uv", "dv"))
#' flowAndTemp <- whatNWISdata(
#' stateCd = "WI", service = "dv",
#' parameterCd = c("00060", "00010"),
#' statCd = "00003"
#' )
#' sites <- whatNWISdata(stateCd = "WI",
#' parameterCd = "00060",
#' siteType = "ST",
#' service = "site")
#'
#' sites <- whatNWISdata(stateCd = "WI",
#' service = "gwlevels")
#' }
whatNWISdata <- function(..., convertType = TRUE) {
matchReturn <- convertLists(...)
prewarned <- FALSE
if ("service" %in% names(matchReturn)) {
service <- matchReturn$service
if (any(service %in% c("qw", "qwdata"))) {
.Deprecated(
old = "whatNWISdata", package = "dataRetrieval",
new = "whatWQPdata",
msg = nwis_message()
)
prewarned <- TRUE
}
} else {
service <- "all"
}
if (any(service == "site")) {
service <- "all"
} else if (any(service == "iv")) {
service[service == "iv"] <- "uv"
} else if (any(service == "peak")) {
service[service == "peak"] <- "pk"
} else if (any(service == "measurements")) {
service[service == "measurements"] <- "sv"
} else if(any(service == "gwlevels")) {
service[service == "gwlevels"] <- "gw"
}
if ("statCd" %in% names(matchReturn)) {
statCd <- matchReturn$statCd
matchReturn <- matchReturn[names(matchReturn) != "statCd"]
} else {
statCd <- "all"
}
if ("parameterCd" %in% names(matchReturn)) {
parameterCd <- matchReturn$parameterCd
matchReturn[["parameterCd"]] <- NULL
} else {
parameterCd <- "all"
}
if("startDate" %in% names(matchReturn) &&
!"endDate" %in% names(matchReturn)){
matchReturn[["endDate"]] <- matchReturn[["startDate"]]
}
matchReturn$service <- "site"
valuesList <- readNWISdots(matchReturn)
values <- sapply(valuesList$values, function(x) utils::URLencode(x))
urlSitefile <- drURL("site", Access = pkg.env$access, seriesCatalogOutput = "true", arg.list = values)
SiteFile <- importRDB1(urlSitefile, asDateTime = FALSE, convertType = convertType)
if (!("all" %in% service)) {
SiteFile <- SiteFile[SiteFile$data_type_cd %in% service, ]
}
if (!("all" %in% statCd)) {
SiteFile <- SiteFile[SiteFile$stat_cd %in% c(statCd, NA), ]
}
if (!("all" %in% parameterCd)) {
SiteFile <- SiteFile[SiteFile$parm_cd %in% parameterCd, ]
}
if (nrow(SiteFile) > 0 && convertType) {
SiteFile$begin_date <- as.Date(suppressWarnings(lubridate::parse_date_time(SiteFile$begin_date, c("Ymd", "mdY", "Y!"))))
SiteFile$end_date <- as.Date(suppressWarnings(lubridate::parse_date_time(SiteFile$end_date, c("Ymd", "mdY", "Y!"))))
}
if(any(SiteFile$data_type_cd == "qw")){
if(!prewarned){
message(nwis_message())
}
}
return(SiteFile)
}
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