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Crime rate in planning neighborhoods in Columbus, Ohio in 1980
data(columbus)A data frame with 49 observations on the following 6 variables.
housevala numeric vector
incomea numeric vector
crimea numeric vector
distcbda numeric vector
xa numeric vector
ya 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.
Wheeler DC (2007) Diagnostic tools and a remedial method for collinearity in geographically weighted regression. Environment and Planning A, 39: 2464-2481
# NOT RUN {
data(columbus)
plot(columbus$x, columbus$y)
# }
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