gwrr (version 0.2-2)

columbus: Columbus crime

Description

Crime rate in planning neighborhoods in Columbus, Ohio in 1980

Usage

data(columbus)

Format

A data frame with 49 observations on the following 6 variables.

houseval

a numeric vector

income

a numeric vector

crime

a numeric vector

distcbd

a numeric vector

x

a numeric vector

y

a numeric vector

Details

The data consist of variables for mean housing value, mean household income, residential and vehicle thefts combined per thousand people for 1980, distance to the central business district (CBD), and x and y spatial coordinates of neighborhood centroids.

References

Wheeler DC (2007) Diagnostic tools and a remedial method for collinearity in geographically weighted regression. Environment and Planning A, 39: 2464-2481

Examples

# NOT RUN {
data(columbus)
plot(columbus$x, columbus$y)
# }