Data refering to n=303 French municipalities of gironde estuary (a south-ouest French county).
The data are issued from the French population census conducted by the National Institute
of Statistics and Economic Studies. The dataset is an extraction of four quantitative
socio-economic variables for a subsample of 303 French municipalities located on the
atlantic coast between Royan and Mimizan. employ.rate.city is the employment rate
of the municipality, that is the ratio of the number of individuals who have a job to
the population of working age (generally defined, for the purposes of international
comparison, as persons of between 15 and 64 years of age). graduate.rate refers
to the level of education of the population that is the highest degree declared by the
individual. It is defined here as the ratio for the whole population having completed
a diploma equivalent or of upper level to two years of higher education
(DUT, BTS, DEUG, nursing and social training courses, license, maitrise, master, DEA, DESS, doctorate, or Grande Ecole diploma).
housing.appart is the ratio of apartment housing. agri.land is the part of
agricultural area of the municipality.
The R dataset estuary is a list of three objects:
dat: a data frame with the description of the n=303 municipalities on p=4 socio-demographic variables.
D.geo: a matrix with the geographical distances between the town hall of the n=303 municipalities.
map: an object of class SpatialPolygonsDataFrame with the map of the gironde estuary.
M. Chavent, V. Kuentz-Simonet, A. Labenne, J. Saracco. ClustGeo: an R package for hierarchical clustering with spatial constraints. Comput Stat (2018) 33: 1799-1822.
# NOT RUN {
data(estuary)
names(estuary)
head(estuary$dat)
# }
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