R/wtr.plot.temp.R

Defines functions wtr.plot.temp

Documented in wtr.plot.temp

#' @title Creates a time series plot of the thermocline and top and bottom of the
#' metalimnion
#' 
#' @description A line based plot of calculated depths of the thermocline, and top and
#' bottom of the metalimnion from a temperature profile time series.
#' 
#' 
#' @param wtr Data frame of water temperature loaded with
#' \code{\link{load.ts}}.
#' @param ... Additional paramters supplied to \code{\link{ts.meta.depths}} and
#' \code{\link{ts.thermo.depth}}
#' @seealso \code{\link{load.ts}} and \code{\link{wtr.lineseries}}
#' @keywords hplot
#' @examples
#' 
#' 
#' wtr.path <- system.file('extdata', 'Sparkling.wtr', package="rLakeAnalyzer")
#' 
#' #Load data for example lake, Sparkilng Lake, Wisconsin.
#' wtr = load.ts(wtr.path)
#' 
#' \dontrun{
#' wtr.plot.temp(wtr)
#' }
#' 
#' @export
wtr.plot.temp = function(wtr, ...){
  
  depths = get.offsets(wtr)
  td = ts.thermo.depth(wtr, ...)
  md = ts.meta.depths(wtr, ...)
  
  df = list(wtr,td,md) ##Create list of data frame to join
  wtr.all = plyr::join_all(df, by="datetime") ##Joins thermodepths, metadepths with temp data
  
  nn = ncol(wtr) # number of columns in data set
  starttime = min(wtr[,1]) #earliest date
  endtime = max(wtr[,1]) #latest date
  
  # defining units and labels for x axis
  wtr.dates = get.datetime(wtr, error=TRUE)  # turn datetime into vector
  datestoshow = pretty(wtr.dates) # pretty vector to specify tick mark location 
  sec.endtime = as.numeric(endtime) # show time as seconds
  sec.starttime = as.numeric(starttime) # show time as seconds
  tt = sec.endtime - sec.starttime # time range of data frame; used to specify time axis
  
  # specify x axis format based upon time range of data 
  ttformat = c()
  if(tt < 1.1*60) { # if time is less than 1 hr units are seconds
    ttformat <- "%S"
  } else if (tt < 1.1*60*60) { # if time is less than 1.1 hours units are min:sec
    ttformat <- "%M:%S"
  } else if (tt < 60*60*24*2) {# if time is less than 2 days units are hour:min
    ttformat <- "%H:%M"
  } else if (tt < 60*60*24*7) { # if time is less than 7 days units are Jul 25 10:15
    ttformat <- "%d %b %H"
  } else if (tt < 60*60*24*7*8.9) {# if time is less than 2 months units are ex. Jul 25 10:15
    ttformat <- "%d %b %H:%M"
  } else if (tt <= 60*60*24*365) { # if time is less than 12 months units are Jun, Jul, Aug  
    ttformat <- "%b"
  } else if (tt > 60*60*24*365){ # if time is more than 12 months units are Jul 2013
    ttformat <- "%b %Y"
  }
  
  # specify x axis labels based upon time range of data 
  xxlab = c()
  if(tt < 1.1*60) { # if time is less than 1 minutes units are seconds
    xxlab  <- "Seconds"
  } else if (tt < 1.1*60*60) { # if time is less than 1.1 hours units are min:sec
    xxlab <- "Minutes"
  } else if (tt < 60*60*24*2) {# if time is less than 2 days units are hour:min
    xxlab <- "Hours"
  } else if (tt < 60*60*24*7) { # if time is less than 7 days units are Jul 25 10:15
    xxlab <- " "
  } else if (tt < 60*60*24*7*8.9) {# if time is less than 2 months units are ex. Jul 25 
    xxlab <- " "
  } else if (tt <= 60*60*24*365) { # if time is less than 12 months units are Jun, Jul, Aug
    xxlab <- " "
  } else if (tt > 60*60*24*365){ # if time is more than 12 months units are Jul 2013
    xxlab <- " "
  }
  
  graphics::plot(wtr.all[,nn+1]~wtr.all[,1],
       type='l',
       col="black",
       ylab="Depth (m)",
       xlab=xxlab,
       bty="n",
       ylim=c(max(depths),c(min(depths)-1)),
       xlim=c(starttime,endtime),
       axes=F
  )
  graphics::lines(wtr.all[,nn+2]~wtr.all[,1], type='l',col="orangered")
  graphics::lines(wtr.all[,nn+3]~wtr.all[,1], type='l',col="navy")
  
  # x axis
  graphics::axis(side = 3, labels=format(datestoshow, ttformat), at = datestoshow, pos = c(min(depths)), tck = -0.03)
  graphics::segments(c(starttime),c(min(depths)),c(endtime),c(min(depths)), col = "black", lty = 1)
  
  # y axis
  graphics::axis (side  = 2, pos = c(starttime), at = NULL, las = 1)
  graphics::segments(c(starttime),c(min(depths)),c(starttime),c(max(depths)), col = "black")
  
  # generate and place legend
  graphics::legend( "bottom"
          , col = c("orangered", "black","navy")
          , lty = 1, lwd = 3, bty = "n"
          , legend = c("Metalimnion Top (m)","Thermocline Depth (m)", "Metalimnion Bottom (m)")
          , cex = 0.75
          , xpd = TRUE
          , #inset=c(0,-0.1)
          , x.intersp = -1.5
          , y.intersp = -1.5
          , adj=c(-0.4,0.5)
          , horiz = TRUE
  )
}
GLEON/rLakeAnalyzer documentation built on Sept. 25, 2019, 4:01 p.m.