What people are saying - Write a review
We haven't found any reviews in the usual places.
APPROACHES TO MODELING PROPERTY VALUES
A SPATIAL MODEL OF PROPERTY VALUES
6 other sections not shown
Other editions - View all
60 feet algorithm Ann Arbor Township Appendix approximately areal units Assessed Property Values assume auto autocorrelation coefficients autocorrelation function autocovariance function AUTOREGRESSIVE MODEL average axes basic interval Bendat block calculated cell Chapter city's center column correlation Correlogram covariance cross covariance data set dimensional dimensions distance decay distributed east-west element equation error estimate example expressed Figure filter FOOT LAGS foot matrix geographic George E. P. Box given grid interval Helmut Moritz included increasing influence intercorrelations isotropy lag combination lagged products large number least squares linear maximum lag mean Moritz multivariate neighborhood neighbors noise non-stationary number of observations parcel Percent Sample Piersol possible procedure random regression represents residential result ridges runs test sample areas signal single family dwellings SOLUTION MATRIX space spatial autocorrelation stationarity statistical street pattern study area SUBROUTINE surface Table tance tion trend two-dimensional Urban variables variance explained variations weights Yule-Walker