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#'Standardize political division names
#'
#'GNRS_super_simple returns standardized political division names (according to geonames.org).
#' @param country A single country or a vector of countries. If a vector, length must equal length of species vector.
#' @param state_province A single state/province or a vector of states. If a vector, length must equal length of species vector.
#' @param county_parish A single county/parish or a vector of counties. If a vector, length must equal length of species vector.
#' @param user_id A single identifier or vector of identifiers. This field is assigned if not provided and is used to maintain record order.
#' @param ... Additional parameters passed to internal functions
#' @note The fields the GNRS takes as input are titled "country", "state_province", and "county_parish" for simplicity, but these field actually refer to 0th-, 1st-, and 2nd-order political division, respectively. In the case of some exceptions (e.g. the UK) this distinction becomes important (e.g. Ireland is a 1st-order political division and should be treated as a "state_province" and cannot be matched as a country.)
#' @return Dataframe containing GNRS results.
#' @export
#' @examples \dontrun{
#'
#' results <- GNRS_super_simple(country = "United States of America")
#' results <- GNRS_super_simple(
#' country = "United States",
#' state_province = "Arizona",
#' county_parish = "Pima County")
#'
#' }
GNRS_super_simple <- function(country = NULL, state_province = NULL, county_parish = NULL, user_id = NULL, ... ){
# Check for internet access
if (!check_internet()) {
message("This function requires internet access, please check your connection.")
#return(invisible(NULL))
}
#Check input for odd stuff
if(!is.null(state_province) & !is.null(country)){
if(length(country) != length(state_province)){stop("Country and state vectors should be the same length.")}
}
if(!is.null(state_province) & !is.null(county_parish)){
if(length(county_parish) != length(state_province)){stop("State and county should be the same length.")}
}
if(!is.null(county_parish) & !is.null((country))){
if(length(country) != length(county_parish)){stop("Country and county vectors should be the same length.")}
}
#Make template
template <- GNRS_template(nrow = max(length(country),length(state_province),length(county_parish)))
#Throw an error if user_id doesn't make sense
if((nrow(template)!=length(user_id)) & (!is.null(user_id)) ){stop(" user_id should be either i) null or ii) have the same length as your country/state/county vectors.")}
if(!is.null(user_id)){ if(any(duplicated(user_id))){stop("user_id should be either null or populated by unique values")} }
#Populate fields as needed
#Country
if(!is.null(country)){
template$country <- country
}
#State
if(!is.null(state_province)){
template$state_province <- state_province
}
#County
if(!is.null(county_parish)){
template$county_parish <- county_parish
}
#user_id
if(!is.null(user_id)){
template$user_id <- user_id
}else{template$user_id <- 1:nrow(template)}
#Get GNRS output
GNRS_out <- GNRS(template, ...)
#Re-order output to match what was submitted #no longer needed since this is done by the GNRS function
#GNRS_out <- GNRS_out[match(table = GNRS_out$user_id,x = template$user_id),]
#Return output
return(GNRS_out)
}
############
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