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- Learn to identify and deal with spatial autocorrelation through correlation structures in nlme - Very briefly introduce the idea of GAMs for dealing with spatial data # Loading the data We will work ...

When regression is performed on time series data, the errors may not be independent. Often errors are autocorrelated; that is, each error is correlated with the error ...

Autocorrelation, a statistical measure that evaluates the relationship between a variable’s past and present values, can provide insights into patterns and guide investment decisions. By analyzing how ...

Autocorrelation is a very general statistical property of ecological variables observed across geographic space; it most common forms are patches and gradients. Spatial autocorrelation, which comes ...

Abstract: An enhanced Doppler estimation method that utilizes the phase of the autocorrelation function (ACF) is proposed in this study. The resolution of the Doppler scale estimation for the ...

Gravity-type spatial interaction models have been popularly utilized in modeling cross-sectional migration data, but their misspecification also has been raised in the literature. This ...