Graphical options for plotMap

These functions get and set options that control some graphical aspects of maps created with plotMap.

plotMapOptions(
  areaDefaultCol = "#DDDDE5",
  areaDefaultSize = 30,
  areaMaxSize = 50,
  areaMaxHeight = 50,
  areaChartColors = NULL,
  areaColorScaleOpts = colorScaleOptions(),
  labelMinSize = 8,
  labelMaxSize = 24,
  linkDefaultCol = "#BEBECE",
  linkDefaultSize = 3,
  linkMaxSize = 15,
  linkColorScaleOpts = colorScaleOptions(),
  legend = c("choose", "visible", "hidden"),
  tilesURL = defaultTilesURL(),
  preprocess = function(map) {     map }
)

defaultTilesURL()

colorScaleOptions(
  breaks = 5,
  domain = NULL,
  negCol = "#FF0000",
  zeroCol = "#FAFAFA",
  posCol = "#0000FF",
  naCol = "#EEEEEE",
  zeroTol = NULL,
  colors = NULL,
  levels = NULL
)

Arguments

areaDefaultCol	default color of areas.
areaDefaultSize	default size of areas.
areaMaxSize	maximal size of an area when it represents the value of some variable.
areaMaxHeight	Maximal height of bars. Used only if a barchart representation is used.
areaChartColors	Vector of colors to use in polar area charts and bar charts
areaColorScaleOpts	List of options used to construct a continuous color scale. This list should be generated with function colorScaleOptions.
labelMinSize	minimal height of labels.
labelMaxSize	maximal height of labels.
linkDefaultCol	Default color of links.
linkDefaultSize	Default line width of links.
linkMaxSize	Maximal line width of a link when it represents the value of some variable.
linkColorScaleOpts	List of options used to construct a continuous color scale. This list should be generated with function colorScaleOptions.
legend	Should the legend be displayed or not ? Default is to mask the legend but add a button to display it. Other values are "visible" to make the legend always visible and "hidden" to mask it.
tilesURL	URL template used to get map tiles. The followign site provides some URLs; https://leaflet-extras.github.io/leaflet-providers/preview/
preprocess	A function that takes as argument a map and that returns a modified version of this map. This parameter can be used to add extra information on a map.
breaks	Either a single number indicating the approximate number of colors to use, or a vector of values at which values to change color. In the first case, the function tries to cut the data nicely, so the real number of colors used may vary.
domain	Range of the data, ie. the range of possible values. If NULL, the the range of the data is used
negCol	color of the extreme negative value.
zeroCol	color of the 0 value.
posCol	Color of the extreme positive value.
naCol	Color for missing values
zeroTol	All values in the interval \[-zeroTol, +zeroTol\] are mapped to the zeroCol color. If NULL, the function tries to pick a nice value that is approximately equal to 1% of the maximal value.
colors	Vector of colors. If it is set and if user manually sets break points, then these colors are used instead of the colors defined by parameters negCol, zeroCol and posCol.
levels	Vector of the distinct values a variable can take. Only used when the variable to represent is a categorical variable.

Value

A list with the values of the different graphical parameters.

Examples

if (FALSE) {

# Example : Change color for area variables 

library(antaresViz)

studyPath <- "path/to/study"
setSimulationPath(path = studyPath, simulation = -1)
myData<-readAntares(areas = "all", links = "all")

ml<-readRDS(file = "path/to/mapLayout.rds")

myOption<-plotMapOptions(areaChartColors = c("yellow", "violetred"))

plotMap(myData, 
        ml, 
        sizeAreaVars = c("SOLAR", "WIND"), 
        type="avg", 
        interactive = FALSE, 
       options = myOption
)

# for pie chart 
plotMap(myData, 
        ml, 
        sizeAreaVars = c("SOLAR", "WIND"), 
        type="avg", 
        interactive = FALSE, 
        options = myOption,
        areaChartType = "pie",
        sizeMiniPlot = TRUE
)

# Example : Change color for link and area variables 
myOption <- plotMapOptions(areaChartColors = c("yellow", "violetred"), linkDefaultCol = "green")
plotMap(myData, 
        ml, 
        type="avg", 
        sizeAreaVars = c("SOLAR", "WIND"), 
        interactive = FALSE, 
        options = myOption
)

# Change default area color 
myOption <- plotMapOptions(areaDefaultCol = "green")
plotMap(myData, 
        ml, 
        interactive = FALSE, 
        options = myOption
)

# Change the scale 
plotMap(myData, 
        ml, 
        colAreaVar = "MRG. PRICE",
        options = plotMapOptions(
          areaColorScaleOpts = colorScaleOptions(
            breaks = c(-1000, 100, 200, 20000),
            colors = c("green", "orange", "red")
          )
        ),
        interactive = FALSE
)
}