gfrance {Guerry} | R Documentation |
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.
data(gfrance)
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 are described in Guerry
.
In the present version, the PROJ4 projection is not specified.
Friendly, M. (2007). Supplementary materials for André-Michel Guerry's Moral Statistics of France: Challenges for Multivariate Spatial Analysis, http://www.math.yorku.ca/SCS/Gallery/guerry/.
Friendly, M. (2007). A.-M. Guerry's Moral Statistics of France: Challenges for Multivariable Spatial Analysis. Statistical Science, 22, 368-399.
Guerry
for description of the analysis variables
Angeville
for other analysis variables
data(gfrance) names(gfrance) ## list @data variables plot(gfrance) ## just show the map outline # Show basic choropleth plots of some of the variables spplot(gfrance, "Crime_pers") 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) 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") })