Map of France in 1830 with the Guerry data

gfrance is a SpatialPolygonsDataFrame object created with the sp package, containing the polygon boundaries of the map of France as it was in 1830, together with the Guerry data frame.

Usage

data(gfrance)

Format

The format is: Formal class 'SpatialPolygonsDataFrame' [package "sp"] with 5 slots:

• gfrance@data,

• gfrance@polygons,

• gfrance@plotOrder,

• gfrance@bbox,

• gfrance@proj4string.

See: SpatialPolygonsDataFrame for descriptions of some components.

The analysis variables, represented in gfrance@data are described in Guerry.

Details

In the present version, the PROJ4 projection is not specified.

Source

Friendly, M. (2007). Supplementary materials for Andre-Michel Guerry's Moral Statistics of France: Challenges for Multivariate Spatial Analysis, http://www.datavis.ca/gallery/guerry/.

References

Friendly, M. (2007). A.-M. Guerry's Moral Statistics of France: Challenges for Multivariable Spatial Analysis. Statistical Science, 22, 368-399.

See also

Guerry for description of the analysis variables Angeville for other analysis variables

Examples

library(sp)
data(gfrance)
names(gfrance)  ## list @data variables
#>  [1] "dept"            "Region"          "Department"      "Crime_pers"     
#>  [5] "Crime_prop"      "Literacy"        "Donations"       "Infants"        
#>  [9] "Suicides"        "MainCity"        "Wealth"          "Commerce"       
#> [13] "Clergy"          "Crime_parents"   "Infanticide"     "Donation_clergy"
#> [17] "Lottery"         "Desertion"       "Instruction"     "Prostitutes"    
#> [21] "Distance"        "Area"            "Pop1831"        
plot(gfrance)   ## just show the map outline


# Show basic choropleth plots of some of the variables
spplot(gfrance, "Crime_pers")


# use something like Guerry's pallete, where dark = Worse
my.palette <- rev(RColorBrewer::brewer.pal(n = 9, name = "PuBu"))
spplot(gfrance, "Crime_pers", col.regions = my.palette, cuts = 8)



spplot(gfrance, "Crime_prop")


# Note that spplot assumes all variables are on the same scale for comparative plots
# transform variables to ranks (as Guerry did)
 
if (FALSE) { # \dontrun{
local({
  gfrance$Crime_pers <- rank(gfrance$Crime_pers)
  gfrance$Crime_prop <- rank(gfrance$Crime_prop)
  gfrance$Literacy <- rank(gfrance$Literacy)
  gfrance$Donations <- rank(gfrance$Donations)
  gfrance$Infants <- rank(gfrance$Infants)
  gfrance$Suicides <- rank(gfrance$Suicides)
     
  spplot(gfrance, c("Crime_pers", "Crime_prop", "Literacy", "Donations", "Infants", "Suicides"), 
    layout=c(3,2), as.table=TRUE, main="Guerry's main moral variables")
}) 
} # }