climateGraph: climate graph after Walter and Lieth

Description

Draw a climate diagramm by the standards of Walter and Lieth.
Usage

climateGraph(temp, rain,
main="BerryStation\n5224' N / 1258' E\n42 m aSL",
units=c("C", "mm"),
labs=c("J", "F", "M", "A", "M", "J", "J", "A", "S", "O", "N", "D"),
textprop=0.2, ylim=range(temp, rain/2), compress=FALSE, lwd=2, 
ticks=-5:20 * 10, graylines=TRUE, lty=1, colhumid=rgb(0, 0, 1, alpha=0.3),
colarid=rgb(1, 0.84, 0, alpha=0.3), colcomp=rgb(1, 0, 1, alpha=0.3),
density=NULL, mar=c(1.5, 2.3, 4.5, 2.3), box=TRUE, keeplayout=FALSE, ...)
temp{monthly temperature mean in \U00B0 C}
  rain{monthly rain sum in mm (12 values)}
  main{location info as character string. can have \n. DEFAULT: "BerryStation\n52\U00B0 24' N / 12\U00B0 58' E\n42 m aSL"}
  units{units used for labelling. DEFAULT: c("\U00B0 C", "mm")}
  labs{labels for x axis. DEFAULT: c("J","F","M","A","M","J","J","A","S","O","N","D")}
  textprop{proportion of graphic that is used for writing the values to the right. DEFAULT: 0.2}
  ylim{limit for y axis in temp units. DEFAULT: range(temp, rain/2)}
  compress{should rain>100 mm be compressed with adjusted labelling? (not recommended for casual visualization!). DEFAULT: FALSE}
  lwd{line width of actual temp and rain graphs. DEFAULT: 2}
  ticks{positions for vertical labelling and line drawing. DEFAULT: -5:20*10}
  graylines{plot horizontal gray lines at every 10 degrees and vertically for each month?. DEFAULT: TRUE}
  lty{line type of gray lines, see par. DEFAULT: 1}
  colhumid{color for humid areas with alpha for transparency. DEFAULT: rgb(0,0,1, alpha)}
  colarid{color for arid times, see col2rgb("gold")/255. DEFAULT: rgb(1,0.84,0, alpha)}
  colcomp{color for compressed rainfall polygon. DEFAULT: rgb(1,0,1, alpha)}
  density{number of shading lines per inch, see polygon. Only passed to humid polygon! DEFAULT: NULL}
  mar{plot margins. DEFAULT: c(1.5,2.3,4.5,2.3)}
  box{draw box along outer margins of graph? DEFAULT: TRUE}
  keeplayout{Keep the layout and parameters changed with par? DEFAULT:FALSE}
  ...{further arguments passed to plot}
None. Plots data and table.
Heinrich Walter, Helmut Lieth: Klimadiagramm-Weltatlas. Gustav Fischer Verlag, Jena 1967
Examples:
http://www.hoelzel.at/_verlag/geojournal/archiv/klima/2006_01/lieth.gif
http://www.wabo.boku.ac.at/uploads/RTEmagicC_klidiagr.gif.gif
http://www.geolinde.musin.de/afrika/pic/klimamuenchen.gif
http://www.hoelzel.at/_verlag/geojournal/archiv/klima/istanbul/istanbul200.gif
http://www.ipb.uni-tuebingen.de/kurs/comp/1_excel2007/1_pic/2007diagramm_verbund02.jpg
http://www.zivatar.hu/felhotar/albums/userpics/wldp.png
[object Object],[object Object],[object Object]
diagwl in package climatol
temp <- c(-9.3,-8.2,-2.8,6.3,13.4,16.8,18.4,17,11.7,5.6,-1,-5.9)#
rain <- c(46,46,36,30,31,21,26,57,76,85,59,46)
climateGraph(temp, rain) # default settings
climateGraph(temp, rain, textprop=0) # no values written to the right
climateGraph(temp, rain, lty=3) # dotted background lines
climateGraph(temp, rain, density=15) # for vertical lines instead of filled polygon
climateGraph(temp, rain, colarid="gold") # fill color for arid without transparency
climateGraph(temp, rain, units=c("F","in")) # for the Americans ;-)

rain <- c(23, 11, 4, 2, 10, 53, 40, 15, 21, 25, 29, 22)
# fix ylim if you want to compare diagrams of different stations:
climateGraph(temp, rain, ylim=c(-15, 50)) # works with two arid phases as well
rain <- c(54, 23, 5, 2, 5, 70, 181, 345, 265, 145, 105, 80) # with extrema
climateGraph(temp, rain) # August can be visually compared to June
climateGraph(temp, rain, compress=TRUE) # compressing extrema enables a better
# view of the temperature, but heigths of rain cannot be visually compared anymore
climateGraph(temp, rain, compress=TRUE, ylim=c(-10, 90))
# needs ylim in linearly continued temp units
climateGraph(temp, rain, compress=TRUE, density=30, colcomp=6)
setwd("C:/Users/berry/Desktop")
pdf("ClimateGraph.pdf")
climateGraph(temp, rain, main="Another Station\nlocated somewhere\n369 ft a sl")
dev.off()
# further German reading:
browseURL("http://www.klimadiagramme.de/all.html")

# One large Dataset:
NOOAlink <- "http://www1.ncdc.noaa.gov/pub/data/normals/1981-2010/"
browseURL(NOOAlink)
# Find your Station here:
browseURL(paste0(NOOAlink,"/station-inventories/allstations.txt")
# Data from Roseburg, Oregon, where I once lived:
download.file(destfile="Roseburg.txt", url=paste0("http://www1.ncdc.noaa.gov/",
          "pub/data/normals/1981-2010/products/station/USC00357331.normals.txt")
RT <- read.table(file="Roseburg.txt", skip=11, nrows=1, as.is=TRUE)[1,-1]
RT <- ( as.numeric(substr(RT,1,3))/10   - 32) * 5/9     # converted to degrees C
RP <- read.table(file="Roseburg.txt", skip=580, nrows=1, as.is=TRUE)[1,-1]
RP <-  as.numeric(substr(RP,1,nchar(RP)-1))/100*25.4
meta <- read.table(file="Roseburg.txt", nrows=5, as.is=TRUE, sep=":")
meta <- paste(meta[1,2], paste(meta[3:4 ,2], collapse=" /"), meta[5,2], sep="\n")
climateGraph(RT, RP, main=meta)
climateGraph(RT, RP, main=meta, compress=TRUE)

# abstract mean values from weather data
browseURL("http://www.dwd.de") # Klima Umwelt - Klimadaten - online,frei
# - Klimadaten Deutschland - Messstationen - Tageswerte
download.file(destfile="Potsdam.zip", url= paste(
"http://www.dwd.de/bvbw/generator/DWDWWW/Content/Oeffentlichkeit/KU/KU2/KU21/",
"klimadaten/german/download/tageswerte/kl__10379__hist__txt,templateId=raw,",
"property=publicationFile.zip/kl_10379_hist_txt.zip", sep=""))
unzip("Potsdam.zip", exdir="PotsdamKlima")
pk <- read.table(dir("PotsdamKlima", pattern="^[p]", full.names=TRUE), sep=";",
                 header=TRUE, na="-999")
dates <- strptime(pk$Mess_Datum, "%Y%m%d")
temp <- tapply(pk$LUFTTEMPERATUR, INDEX=format(dates, "%m"), FUN=mean, na.rm=FALSE)
precsums <- tapply(pk$NIEDERSCHLAGSHOEHE, INDEX=format(dates, "%Y-%m"), FUN=sum)
eachmonth <- format(strptime(paste(names(precsums),"01"), "%Y-%m %d"),"%m")
prec <- tapply(precsums, eachmonth, FUN=mean)
meta <- paste("Potsdam\n", paste(range(dates), collapse=" to "), "\n", sep="")
# If you want to add things later, use keeplayout and graphics.off() to reset par
climateGraph(temp, prec, main=meta, ylim=c(-2, 45), keeplayout=TRUE)
# Add Quartiles (as in boxplots): numerically sorted, 50% of the data lie inbetween
T25 <- tapply(pk$LUFTTEMPERATUR, INDEX=format(dates, "%m"),
              FUN=quantile, na.rm=FALSE, probs=0.25)
T75 <- tapply(pk$LUFTTEMPERATUR, INDEX=format(dates, "%m"),
              FUN=quantile, na.rm=FALSE, probs=0.75)
arrows(x0=1:12, y0=T25, y1=T75, angle=90, code=3, col=2, len=0.1)
#
P25 <- tapply(precsums, eachmonth, FUN=quantile, na.rm=FALSE, probs=0.25)
P75 <- tapply(precsums, eachmonth, FUN=quantile, na.rm=FALSE, probs=0.75)
arrows(x0=1:12, y0=P25/2, y1=P75/2, angle=90, code=3, col=4, len=0, lwd=3, lend=1)
title(main=c("","","IQR shown als lines"), col.main=8)

# Comparison to diagrams in climatol
install.packages("climatol")
help(package="climatol")
library(climatol)
data(datcli)
diagwl(datcli,est="Example station",alt=100,per="1961-90",mlab="en")
hplot
Description

Usage

Arguments
