GoettingenHealth1 {REAT}

Healthcare providers in South Lower Saxony

Description

Dataset with healthcare providers (general practitioners, psychotherapists, pharmacies) in two German counties (Goettingen and Northeim)

Usage

data("GoettingenHealth1")

Format

A data frame with 617 observations on the following 5 variables.

location

a numeric vector with unique IDs of the healthcare providers

lat

Latitude

lon

Longitude

type

Type of healthcare provider: general practitioners (phyh_gen), psychotherapists (psych) or pharmacies (pharm)

district

a numeric vector containing the IDs of the district the specific provider is located in

Source

Wieland T./Dittrich, C. (2016): “Bestands- und Erreichbarkeitsanalyse regionaler Gesundheitseinrichtungen in der Gesundheitsregion Goettingn”. Research report, Georg-August-Universitaet Goeottingen, Geographisches Institut, Abteilung Humangeographie. http://webdoc.sub.gwdg.de/pub/mon/2016/3-wieland.pdf.

References

Wieland T./Dittrich, C. (2016): “Bestands- und Erreichbarkeitsanalyse regionaler Gesundheitseinrichtungen in der Gesundheitsregion Goettingn”. Research report, Georg-August-Universitaet Goeottingen, Geographisches Institut, Abteilung Humangeographie. http://webdoc.sub.gwdg.de/pub/mon/2016/3-wieland.pdf.

Examples

## Not run: 
data(GoettingenHealth1)
# general practitioners, psychotherapists and pharmacies

area_goe <- 1753000000
# area of Landkreis Goettingen (sqm)
area_nom <- 1267000000
# area of Landkreis Northeim (sqm)
area_gn <- area_goe+area_nom
sqrt(area_gn/pi)

# this takes some seconds
ripley(GoettingenHealth1[GoettingenHealth1$type == "phys_gen",], 
"location", "lat", "lon", area = area_gn, t.max = 30000, t.sep = 300)

ripley(GoettingenHealth1[GoettingenHealth1$type == "pharm",], 
"location", "lat", "lon", area = area_gn, t.max = 30000, t.sep = 300)

ripley(GoettingenHealth1[GoettingenHealth1$type == "psych",], 
"location", "lat", "lon", area = area_gn, t.max = 30000, t.sep = 300)

## End(Not run)