mapCirclesChoro: Proportional Circles Colored by a Discretized Quantitative...

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/mapCirclesChoro.R

Description

This function represents two variables through a proportional circles map. The areas of the circles are proportional to values of a quantitative variable and their colors reflect the discretization of an other numeric variable.

Usage

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mapCirclesChoro(shpFile, shpId, df, dfId, var, var2, 
                fixedNorm = FALSE, shareOfCircles = 0.02, 
                radiusMax = 0.5, valueMax = max(df[, var], na.rm = TRUE), 
                lgdRndCircles = 0, posLegCircles = "topright", 
                circleCol = "grey", baseCol = "#FFEDA0", 
                nclass = 6, style = "quantile", fixBrks = FALSE, listBrks = NULL, 
                diverg = FALSE, divergBrk = 0, 
                palCol = "Greens", palColPos = "Reds", palColNeg = "Blues", 
                NACol = "grey",
                lgdRndDistr = 2, posLegDistr = "bottomleft", 
                title = paste(var, var2, sep = " & "), 
                legendCircles = var, legendDistr = var2, 
                author = "author", sources = "sources", 
                scalebar = FALSE, scalebarSize, scalebarText, 
                northArrow = FALSE, northArrowSize, 
                width = NULL, height = NULL, txtCex = NULL)

Arguments

shpFile

Path to a polygon shapefile.

shpId

Unique identifier of the shapefile. It must correspond to dfId.

df

Data frame that contains the variables to be mapped.

dfId

Unique identifier of the data frame. It must correspond to shpId.

var

Name of the positive numeric variable to be mapped through the sizes of the circles.

var2

Name of the positive numeric variable to be mapped through the colors of the circles.

fixedNorm

FALSE (default) : the sum of the surfaces occupied by circles is proportional to the size of the map and is declared by the shareOfCircles argument, radiusMax and valueMax are not used.
TRUE : the size of the largest circle is defined by a radius size (radiusMax) and a fixed variable value (valueMax), the shareOfCircles argument is not used.

shareOfCircles

Share of the surface of the map occupied by circles (0.02 is 2%).

radiusMax

Size (in cm) of the radius of the biggest circle.

valueMax

Value used to normalize the size of the largest circle (in variable units).

lgdRndCircles

Rounding of the values of the variable presented in the legend of the circles.

posLegCircles

Position of the legend of the circles(top, bottom, left, right, center, topleft, topright, bottomleft or bottomright).

circleCol

Color of the circles in the legend

baseCol

Color of the base map.

nclass

Number of classes to be represented.

style

Method used to provide the class intervals. See style in the classIntervals function from the classInt package.

fixBrks

FALSE (default): the class intervals are computed through the style argument.
TRUE : the class intervals are provided through the listBrks argument, nclass and style are not used.

listBrks

Vector of values used as breaks for the class intervals when fixBrks = TRUE.

diverg

FALSE (default): there is no color break in the color palette.
TRUE : a break is introduced in the color palette. Palettes are defined through the palColPos and palColNeg arguments, respectively for values superior to the divergBrk value and inferior to the divergBrk value.

divergBrk

Value used to define the break in the color palette if diverg=TRUE.

palCol

Color palette, provided through RColorBrewer, to be used in the map. Use display.brewer.all() to see the available color ramps. For a more detailed overview : RColorBrewer.

palColPos

Palette used for values superior to divergBrk if diverg=TRUE. See palCol for details.

palColNeg

Palette used for values inferior to divergBrk if diverg=TRUE. See palCol for details.

NACol

Color used to draw units with no data (NA).

lgdRndDistr

Rounding of the class intervals presented in the legend.

posLegDistr

Position of the legend of the discretization (top, bottom, left, right, center, topleft, topright, bottomleft or bottomright).

title

Title of the map.

legendCircles

Title of the legend for the circles

legendDistr

Title of the legend for the discretization

author

Two lines (author and sources) at the bottom of the map are available to display additional information. It is recommended to display the name of the author and the sources of the data and the base map.

sources

Two lines (author and sources) at the bottom of the map are available to display additional information. It is recommended to display the name of the author and the sources of the data and the base map.

scalebar

FALSE (default): don't draw a scale bar.
TRUE : draws a scale bar. The choice of the scale bar location is interactive.

scalebarSize

Size of the scale bar in map units.

scalebarText

Text of the scale bar.

northArrow

FALSE (default) : don't draw a North arrow.
TRUE : draws a North arrow. The choice of the North arrow location is interactive.

northArrowSize

Size of the North arrow in map units.

width

Width of the map in cm.

height

Height of the map in cm.

txtCex

Size of the texts.

Details

The circles are centered on the centroids of the polygons.
Only the six first arguments are compulsory.

Value

A map is displayed in the graphic window.
You can export the map in raster or vector format (pdf).

Author(s)

Timothee Giraud - UMS RIATE (CNRS)

See Also

rCarto-package rCarto package
mapCircles proportional circles
mapCirclesChoro proportional circles colored by a discretized quantitative variable
mapCirclesTypo proportional circles colored by the modalities of a qualitative variable
mapChoropleth choropleth
mapChoroTypo typology
mtq data
commune shapefile

Examples

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library(rCarto)
data(mtq)

# minimal example
mtq$POPVAR <- (mtq$P09_POP-mtq$P99_POP) / mtq$P99_POP
mapCirclesChoro(shpFile=file.path(path.package("rCarto"), "shapes/COMMUNE"),
                shpId="INSEE_COM",df=mtq,dfId="ID",var="P09_POP",var2="POPVAR")

rCarto documentation built on May 2, 2019, 8:20 a.m.