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 function.
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.
Autocorrelation was computed to test the regularity [14] 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.
