utils::globalVariables(c("mt_state_plane",
"Start Date",
"Station Id",
"State Code",
"Network Code",
"station",
"WBD code",
"mt_watersheds_simple",
"Hydrologic Unit",
"Snow Water Equivalent (in) Start of Day Values",
"Median Snow Water Equivalent (1981-2010) (in) Start of Day Values",
"n",
"Stations Count",
"SWE (in)",
"SWE 1981-2010 Median (in)",
"mt_counties_simple",
"m",
"Watershed",
'Station'))
#' Download and process the Montana SNOTEL site inventory from the
#' NRCS National Water and Climate Center
#'
#' @return A simple feature collection with 6 fields:
#' * **Station Id** — the SNOTEL station identification number
#' * **Station Name** — the SNOTEL station location name
#' * **State Code** — the two letter state code
#' * **`Network Code`** — the code for the station network
#' * **Start Date** — the date the station started recording data
#' * **End Date** — the date the station stopped recording data.
#' Will be "2100-01-01" if station is still recording.
#'
#' @export
#' @importFrom magrittr %>% %$%
#' @examples
#' \dontrun{
#' mco_get_snotel_inventory()
#' }
mco_get_snotel_inventory <- function(){
date <- Sys.Date()
suppressWarnings(readr::read_csv(stringr::str_c('https://wcc.sc.egov.usda.gov/reportGenerator/view_csv/customMultipleStationReport/daily/start_of_period/',
'network="SNTL"|name','/',
date,',',date,'/',
stringr::str_c(c('stationId',
'name',
'state.code',
'network.code',
'latitude',
'longitude',
'inServiceDate',
'outServiceDate'),
collapse = ',')),
col_types = readr::cols(
`Station Id` = readr::col_integer(),
`Station Name` = readr::col_character(),
`State Code` = readr::col_character(),
`Network Code` = readr::col_character(),
Latitude = readr::col_double(),
Longitude = readr::col_double(),
`Start Date` = readr::col_date(format = ""),
`End Date` = readr::col_date(format = "")
),
comment = "#")) %>%
stats::na.omit() %>%
sf::st_as_sf(coords = c("Longitude","Latitude"),
crs = 4326) %>%
dplyr::mutate(Station = paste0(`Station Id`,":",
`State Code`,":",
`Network Code`)) %>%
dplyr::select(`Station`,dplyr::everything())
}
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