Georgia census data set (csv file)

Description

The Georgia census data set from Fotheringham et al. (2002).

Usage

data(Georgia)

Format

A data frame with 159 observations on the following 13 variables.

AreaKey

An identification number for each county

Latitude

The latitude of the county centroid

Longitud

The longitude of the county centroid

TotPop90

Population of the county in 1990

PctRural

Percentage of the county population defined as rural

PctBach

Percentage of the county population with a bachelors degree

PctEld

Percentage of the county population aged 65 or over

PctFB

Percentage of the county population born outside the US

PctPov

Percentage of the county population living below the poverty line

PctBlack

Percentage of the county population who are black

ID

a numeric vector of IDs

X

a numeric vector of x coordinates

Y

a numeric vector of y coordinates

Details

This data set can also be found in GWR 3 and in spgwr.

References

Fotheringham S, Brunsdon, C, and Charlton, M (2002), Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Chichester: Wiley.

Examples

data(Georgia)
ls()
coords <- cbind(Gedu.df$X, Gedu.df$Y)
educ.spdf <- SpatialPointsDataFrame(coords, Gedu.df)
spplot(educ.spdf, names(educ.spdf)[4:10])

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(GWmodel)
Loading required package: maptools
Loading required package: sp
Checking rgeos availability: TRUE
Loading required package: robustbase
Welcome to GWmodel version 1.2-5.
 Note: The default kernel for all the functions have been set as bisquare from this release
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GWmodel/Georgia.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Georgia
> ### Title: Georgia census data set (csv file)
> ### Aliases: Georgia Gedu.df
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(Georgia)
> ls()
[1] "Gedu.df"
> coords <- cbind(Gedu.df$X, Gedu.df$Y)
> educ.spdf <- SpatialPointsDataFrame(coords, Gedu.df)
> spplot(educ.spdf, names(educ.spdf)[4:10])
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>