columbus | R Documentation |
Crime rate in planning neighborhoods in Columbus, Ohio in 1980
data(columbus)
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
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.
Anselin L (1988) Spatial Econometrics: Methods and Models. Kluwer, Dordrecht
Wheeler DC (2007) Diagnostic tools and a remedial method for collinearity in geographically weighted regression. Environment and Planning A, 39: 2464-2481
data(columbus) plot(columbus$x, columbus$y)
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