This paper is motivated by the limited ability of hedonic price equations to deal with spatial variation in house prices. Host (1999) divides spatial processes into low and high frequency components, inspiring the methods developed here. We further divide Host's low frequency spatial patterns...

This article is motivated by the limited ability of standard hedonic price equations to deal with spatial variation in house prices. Spatial patterns of house prices can be viewed as the sum of many causal factors: Access to the central business district is associated with a house price...

The empirical semivariogram of residuals from a regression model with stationary errors may be used to estimate the covariance structure of the underlying process. For prediction (kriging) the bias of the semivariogram estimate induced by using residuals instead of errors has only a minor effect...