#' Find and store important values for document type 4
#'
#' This function allows you to sort through document type 4 and save relevant information
#' @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 type4
#' @export
#' @examples
#' processDocType4()
processDocType4 <- function(df = NULL, stringList = ""){
df$Zone.UTM <- phraseFinder(stringList, "zone", "easting:")
df$E.UTM <- phraseFinder(stringList, "easting:", "northing:")
df$N.UTM <- phraseFinder(stringList, "northing:", "latitude:")
df$Lat <- phraseFinder(stringList, "latitude:", "longitude:")
df$Long <- phraseFinder(stringList, "longitude:", "elevation")
df$UseInfo <- phraseFinder(stringList,"type:","dimensions,")
df$OccupationDensity <- phraseFinder(stringList,"dimensions,","vegetation:")
df$Date <- phraseFinder(stringList,"*dates:","*dating")
if(is.na(df$Zone.UTM)){
df$Zone.UTM <- phraseFinder(stringList, "zone", "easting")
}
if(is.na(df$E.UTM)){
df$E.UTM <- phraseFinder(stringList, "easting", "northing")
}
if(is.na(df$N.UTM)){
df$N.UTM <- wordFinder(stringList, "northing")
}
if(is.na( df$Zone.UTM)){
df$Zone.UTM <- wordFinderB4(stringList,"easting:",1)
}
if(is.na( df$Zone.UTM)){
df$Zone.UTM <- wordFinderB4(stringList,"easting",1)
}
# if (df$UseInfo == NULL || df$Date == NULL || df$OccupationDensity == NULL)
# { df$ScanSuccess = FALSE}
# if (df$Zone.UTM == NULL && df$E.UTM == NULL && df$N.UTM == NULL && df$Lat == NULL && df$Long == NULL)
# { df$ScanSuccess = FALSE}
return(df)
}
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