plotSD: Plot sampling designs and related cost maps

In sensors4plumes: Test and Optimise Sampling Designs Based on Plume Simulations

Description

Given a sampling design and a function to compute cost maps it generates the related map plot, based on spplot. If no cost map function is available, it may plot it with data from related simulations.

Usage

plotSD(simulations, SD,
  locationsFix = integer(0), 
  locationsInitial = integer(0), 
  locationsAll = integer(0),
  costMap,
  zcol = 1, allIn1Plot = 0,
  pch = c(1, 20, 4), col = c("white", "white", "white", "white"), 
  pointsKey = TRUE, mainCost = TRUE,
  pch.SDs, col.SDs, cex.SDs, ...)

Arguments

simulations	Simulations object
SD	indices of locations of sensors, can be a matrix (rows refer to SDs) or a list
locationsFix	indices of fix sensors, taken into account to compute cost map and plotted
locationsInitial	indices of initial sensors, for plotting
locationsAll	indices of all possible sensors, for plotting
costMap	function to compute the values for the background map; needs the parameters simulations and locations; output must be a list with "costLocations" of length like the locations of simulations
zcol	index or name: if no costMap given, this layer of the locations is used as background map
allIn1Plot	if several SDs are given, they are by default (allIn1Plot = 0) plotted each on a map; if allIn1Plot is an integer, all SDs are combined in one plot with the cost map of this SD as background
pch	point style of SD, locationsFix, locationsInitial; for locationsAll the pch = "." cannot be changed
col	colors for SD, locationsFix, locationsInitial, locationsAll
pointsKey	logical, if key for points is to be printed
mainCost	logical, if cost of SD is to be used as main (this is only done if costMap returns a list item "cost")
pch.SDs	point types for the different SDs, must have length that fits number of SDs (default: use pch[1] for all SDs but vary size)
col.SDs	point colours for different SDs
cex.SDs	point size for different SDs
...	further parameters to be forwarded to spplot

Value

The function generates plots (main and point key missing) and returns a list of trellis objects (including main and keys).

Author(s)

Kristina B. Helle, [e-mail]

Examples

demo(radioactivePlumes_addProperties) 
data(SDssa)
SDs = list(SDssa[["SD"]][[1]][1,], SDssa$report[["SD_final"]])
singleDet = replaceDefault(singleDetection, 
  newDefaults = list(plot = TRUE), type = "costFun.optimiseSD")[[1]]
# separate maps
plotSD1a = plotSD(
  simulations = radioactivePlumes,
  SD = SDs,
  costMap = singleDet)
for (i in seq(along = SDs)){
  plot(plotSD1a[[i]])
}
  
# combined map (with customised parameters for fix and initial sensors)
I = nLocations(radioactivePlumes)
set.seed(22347287) # reconstruct initial and fix sensors of SDssa
locDel3 = sample.int(I, 5)
locKeep3 = sample(setdiff(1:I, locDel3), 10)
locAll3 = c(sample(setdiff(1:I, 
  c(locDel3, locKeep3)), 10), locDel3)

plotSD2 = plotSD(
  simulations = radioactivePlumes,
  SD = SDs,
  locationsAll = setdiff(1:nLocations(radioactivePlumes), c(locKeep3, locAll3)),
  locationsFix = locKeep3,
  locationsInitial = locDel3,
  costMap = singleDet,
  allIn1Plot = 2,
  col = c("green", "blue", "red", "white"),
  pch = c(1,2,4),
  col.regions = grey.colors,
  colorkey = FALSE)  


# combined map (with customised parameters for different SDs)   
plotSD3 = plotSD(
  simulations = radioactivePlumes,
  SD = SDs,
  locationsFix = locKeep3,
  locationsAll = setdiff(1:nLocations(radioactivePlumes), c(locKeep3, locAll3)), 
  allIn1Plot = 2,
  col = c(1, "white", "white", "white"),
  pch = c(1,20,0),
  col.regions = grey.colors,
  pointsKey = FALSE,
  pch.SDs = 2:5,
  cex.SDs = c(3.5,3,2.5,2),
  col.SDs = 4:8
  )  

sensors4plumes documentation built on May 1, 2019, 10:27 p.m.