#' Find and store important values for document type 16
#'
#' This function allows you to sort through document type 16 and save relevant information. Doc Type 216 is often handwritten and may not be very successful
#' @param df the dataframe for this site which is passed to each document type
#' @param stringList all of the page as a string list
#' @keywords type16
#' @export
#' @examples
#' processDocType16()
processDocType16 <- function(df = NULL, stringList = NULL){
df$Zone.UTM <- wordFinder(stringList, "zone")
df$E.UTM <- wordFinder(stringList, "easting")
df$N.UTM <- wordFinder(stringList, "northing")
df$Lat <- wordFinder(stringList, "lat.")
df$Long <- wordFinder(stringList, "long.")
df$UseInfo <- wordFinder(stringList, "function/use")
df$OccupationDensity <- wordFinder(stringList,"size")
df$Date <- wordFinder(stringList, "use")
#Check for 7's being misinterpreted as /
df$Zone.UTM = gsub("/", "7", df$Zone.UTM )
df$E.UTM = gsub("/", "7", df$E.UTM )
df$N.UTM = gsub("/", "7", df$N.UTM )
df$Lat = gsub("/", "7", df$Lat )
df$Long = gsub("/", "7", df$Long )
#df$UseInfo = gsub("/", "7", df$UseInfo )
df$OccupationDensity = gsub("/", "7", df$OccupationDensity )
df$OtherInfo = gsub("/", "7", df$OtherInfo )
df$Date = gsub("/", "7", df$Date )
df$BP = gsub("/", "7", df$BP )
return(df)
}
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