R/monitor_dailyBarplot.R

Defines functions monitor_dailyBarplot

Documented in monitor_dailyBarplot

#' @keywords ws_monitor
#' @title Create Daily Barplot
#'
#' @description
#' Creates a bar plot showing daily average PM 2.5 values for a specific monitor
#' in a \emph{ws_monitor} object. Each bar is colored according to its AQI
#' category.
#'
#' This function is a wrapper around \code{base::barplot} and any arguments to
#' that function may be used.
#'
#' Each 'day' is the midnight-to-midnight period in the monitor local timezone.
#' When \code{tlim} is used, it is converted to the monitor local timezone.
#'
#' @param ws_monitor \emph{ws_monitor} object
#' @param monitorID monitor ID for a specific monitor in \code{ws_monitor}
#'   (optional if \code{ws_monitor} only has one monitor)
#' @param tlim optional vector with start and end times (integer or character
#'   representing YYYYMMDD[HH] or \code{POSIXct})
#' @param minHours minimum number of valid data hours required to calculate each
#'   daily average
#' @param gridPos position of grid lines either 'over', 'under' ('' for no grid
#'   lines)
#' @param gridCol color of grid lines (see graphical parameter 'col')
#' @param gridLwd line width of grid lines (see graphical parameter 'lwd')
#' @param gridLty type of grid lines (see graphical parameter 'lty')
#' @param labels_x_nudge nudge x labels to the left
#' @param labels_y_nudge nudge y labels down
#' @param ... additional arguments to be passed to \code{barplot()}
#'
#'
#' @details
#' The \code{labels_x_nudge} and \code{labels_y_nudge} can be used to tweak the
#' date labeling. Units used are the same as those in the plot.
#'
#' @import graphics
#' @export
#'
#' @examples
#' library(PWFSLSmoke)
#'
#' N_M <- monitor_subset(Northwest_Megafires, tlim = c(20150715, 20150930))
#' main <- "Daily Average PM2.5 for Omak, WA"
#' monitor_dailyBarplot(N_M, monitorID = "530470013_01", main = main,
#'                          labels_x_nudge = 1)
#' addAQILegend(fill = rev(AQI$colors), pch = NULL)

monitor_dailyBarplot <- function(ws_monitor,
                                 monitorID = NULL,
                                 tlim = NULL,
                                 minHours = 18,
                                 gridPos = "",
                                 gridCol = "black",
                                 gridLwd = 0.5,
                                 gridLty = "solid",
                                 labels_x_nudge = 0,
                                 labels_y_nudge = 0,
                                 ...) {

  # Sanity check
  if (monitor_isEmpty(ws_monitor)) {
    stop("ws_monitor object contains zero monitors")
  }

  # Data Preparation ----------------------------------------------------------

  # Allow single monitor objects to be used without specifying monitorID
  if (is.null(monitorID)) {
    if (nrow(ws_monitor$meta) == 1) {
      monitorID <- ws_monitor$meta$monitorID[1]
    } else {
      stop(
        paste0(
          "ws_monitor object contains data for > 1 monitor. Please specify a monitorID from: '",
          paste(ws_monitor$meta$monitorID, collapse = "', '"), "'"
        )
      )
    }
  }

  # When tlim is specified in whole days we should add hours to get the requsted full days
  if ( !is.null(tlim) ) {
    if ( "POSIXct" %in% class(tlim) ) {
      tlimStrings <- strftime(tlim, "%Y%m%d", tz = "UTC")
    } else {
      tlimStrings <- as.character(tlim)
    }
    if ( stringr::str_length(tlimStrings)[1] == 8 ) {
      tlimStrings[1] <- paste0(tlimStrings[1], "00")
    }
    if ( stringr::str_length(tlimStrings)[2] == 8 ) {
      tlimStrings[2] <- paste0(tlimStrings[2], "23")
    }
    # Recreate tlim
    tlim <- tlimStrings
  }

  # Subset to a single monitor
  timezone <- as.character(ws_monitor$meta[monitorID, "timezone"])
  mon <- monitor_subset(ws_monitor, monitorIDs = monitorID, tlim = tlim, timezone = timezone)

  # Calculate the daily mean
  mon_dailyMean <- monitor_dailyStatistic(mon, FUN = get("mean"), dayStart = "midnight",
                                          na.rm = TRUE, minHours = minHours)

  localTime <- mon_dailyMean$data$datetime
  pm25 <- as.numeric(mon_dailyMean$data[, monitorID])

  # Plot command default arguments ---------------------------------------------

  argsList <- list(...)

  argsList$height <- pm25

  # Default colors come from pm25Daily means
  if ( !("col" %in% names(argsList)) ) {
    argsList$col <- aqiColors(pm25)
  }

  # X axis labeling is handled after the plot

  # NOTE:  For mathematical notation in R see:
  # NOTE:    http://vis.supstat.com/2013/04/mathematical-annotation-in-r/

  # Y axis labeling
  if ( !("ylab" %in% names(argsList)) ) {
    argsList$ylab <- expression(paste("PM"[2.5] * " (", mu, "g/m"^3 * ")"))
  }

  # Additional small tweaks
  argsList$las <- ifelse("las" %in% names(argsList), argsList$las, 1)

  # Title
  if ( !("main" %in% names(argsList)) ) {
    argsList$main <- expression(paste("Daily Average PM"[2.5]))
  }
  # Explicitly declare defaults for use in creating the x axis
  argsList$axes <- ifelse("axes" %in% names(argsList), argsList$axes, TRUE)
  argsList$space <- ifelse("space" %in% names(argsList), argsList$space, 0.2)
  argsList$cex.names <-
    ifelse("cex.names" %in% names(argsList), argsList$cex.names, par("cex.axis"))

  # Plotting ------------------------------------------------------------------

  if ( gridPos == "under" ) {
    do.call(barplot, argsList)
    abline(h = axTicks(2)[-1], col = gridCol, lwd = gridLwd, lty = gridLty)
    argsList$add <- TRUE
  }

  do.call(barplot, argsList)

  # Add default X axis
  if ( argsList$axes && !("names.arg" %in% names(argsList)) ) {
    barCount <- length(argsList$height)
    allIndices <- 1:barCount
    allLabels <- strftime(localTime, "%b %d", tz = timezone)
    maxLabelCount <- 16
    stride <- round(barCount / maxLabelCount)
    if ( stride == 0 ) {
      indices <- allIndices
      labels <- allLabels
    } else {
      indices <- allIndices[seq(1, barCount, by = stride)]
      labels <- allLabels[seq(1, barCount, by = stride)]
    }
    labels_x <- (indices - 0.5) + (indices * argsList$space)
    labels_y <- -0.06 * (par("usr")[4] - par("usr")[3])
    # Add tilted dates
    text(
      labels_x - labels_x_nudge, labels_y - labels_y_nudge,
      labels, srt = 45, cex = argsList$cex.names, xpd = NA
    )
    # Now add tick marks
    axis(1, at = labels_x, labels = FALSE, lwd = 0, lwd.ticks = 1)
  }

  # Add horizontal bars
  if ( gridPos == "over" ) {
    abline(h = axTicks(2)[-1], col = gridCol, lwd = gridLwd, lty = gridLty)
  }

}

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PWFSLSmoke documentation built on July 8, 2020, 7:19 p.m.