ginimap {GeoXp}R Documentation

Lorentz curve and map

Description

The function ginimap() computes a Lorentz curve from var and calculates the Gini Index associated to var.

Usage

ginimap(long,lat,var,listvar=NULL, listnomvar=NULL,carte=NULL,criteria=NULL,
label="", cex.lab=1, pch=5, col="green", xlab="", ylab="", axes=FALSE,
lablong="", lablat="")

Arguments

long a vector x of size n
lat a vector y of size n
var a vector of numeric values of size n
listvar matrix of variables which permit to plot bubbles on map or add a graphic using the tk window
listnomvar a list with names of variables listvar
carte matrix with 2 columns for drawing spatial polygonal contours : x and y coordinates of the vertices of the polygon
criteria a vector of size n of boolean which permit to represent preselected sites with a cross, using the tcltk window
label a list of character of size n with name of site. Names are printed on map after a selection
cex.lab character size of label
pch 16 by default, symbol for selected points
col "blue" by default, color of bars on the histogram
xlab a title for the graphic x-axis
ylab a title for the graphic y-axis
axes a boolean with TRUE for drawing axes on the map
lablong name of the x-axis that will be printed on the map
lablat name of the y-axis that will be printed on the map

Details

Users have the possibility to choose a threshold by mouse clicking on the Lorentz curve or by specifying it in the menu. The corresponding pair (F,G) and the value of `var' are then printed on the graph and the sites with a value of var lower or equal to the threshold are then selected on the map.

Note

The Gini Index is given in the tcltk window (see function gini.r for the formula used to calculate it).

Author(s)

Thomas-Agnan C., Aragon Y., Ruiz-Gazen A., Laurent T., Robidou L.

References

Aragon Yves, Perrin Olivier, Ruiz-Gazen Anne, Thomas-Agnan Christine (2009), Statistique et Econométrie pour données géoréférencées : modèles et études de cas

See Also

gini

Examples

# données eire
data(eire)
eire.contours<-polylist2list(eire.polys.utm)
obs<-ginimap(eire.coords.utm$V1,eire.coords.utm$V2,eire.df$INCOME,
listvar=eire.df,listnomvar=names(eire.df),carte=eire.contours,col="orange",
label=as.character(1:26),cex.lab=0.7,xlab="Income",ylab="Total Income")

[Package GeoXp version 1.4 Index]