This approach is based on the computation of the generalized Hough transform with the candidate peaks ordered according to their region of dominance in the autocorrelation
This can generate spurious outliers, and weaken the reliability of some tests of spatial autocorrelation
This assumption may not be valid with variables representing a geographically varying phenomenon, such as population, because when the spatial scale moves down especially to the block level, the spatial autocorrelation
of population among neighboring blocks is likely to become stronger (Brown 1995).
Following our earlier results (Kahya and Marti, 2007) for this analysis phase, we here prefer to present the results of autocorrelation
calculations in a tabular fashion (Table 1).
00 suggesting that serial or autocorrelation
was not a problem in the data set.
I used genealogical and genetic spatial autocorrelation
analyses of raccoons sampled over 5-9 years on six trapping grids in southwestern Tennessee to assess these predictions.
b) In some cases, data conversion into different components makes the autocorrelation
A stationarity requirement, defined as a constant mean, variance and autocorrelation
through time, constrains parameters to a certain range.
In this case, spatial econometrics is needed to recognise the existence of spatial autocorrelation
was computed to test the regularity  of the vibration periods on the time-series of the accelerometer-enveloped signal recorded for each vibrator over the minute of each trial.
In particular, the autocorrelation
function (ACF) and partial autocorrelation
function (PACF) can point to recurrent "lags" in the data, so that peaks may always occur, on average, every quarter, six months, or twelve months (Farnum and Stanton 1989a, 1989d).
Their methodology had the advantage of controlling for other variables that could affect demand, and using ARIMA modeling to eliminate problematic autocorrelation