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REAT (version 1.3.1)

health4:

Description

Dataset containing the 420 subregions in South Lower Saxony (see health2) and the corresponding counts of health service locations (general practitioners, pharmacies, psychotherapists, gynaecologists, all physicians)

Usage

data("health4")

Arguments

Format

A data frame with 420 observations on the following 6 variables.
region
a numeric vector containing the region ID
phys_gen
a numeric vector containing the number of general practitioners
phys_gyn
a numeric vector containing the number of gynaecologists
psych
a numeric vector containing the number of psychotherapists
phys_all
a numeric vector containing the number of all physicians
pharm
a numeric vector containing the number of pharmacies

References

Wieland, T./Dittrich, C. (2016): “Bestands- und Erreichbarkeitsanalyse regionaler Gesundheitseinrichtungen in der Gesundheitsregion Goettingen”. Projektbericht. Goettingen : GOEDOC, Dokumenten- und Publikationsserver der Georg-August-Universitaet Goettingen. http://webdoc.sub.gwdg.de/pub/mon/2016/3-wieland.pdf

Examples

Run this code
# Spatial concentration of health service locations and population:
data(health2)
# Population data
data(health4)
# Health service location data
gini(health2$pop)
# Gini coefficient for population
gini(health4$phys_gen)
# Gini coefficient for general practitioners
gini(health4$phys_gyn)
# Gini coefficient for gynaecologists
gini(health4$psych)
# Gini coefficient for psychotherapists
gini(health4$pharm)
# Gini coefficient for pharmacies

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