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Sampling Distributions Associated with Spatial Autocorrelation

In: Spatial Autocorrelation and Spatial Filtering

Author

Listed:
  • Daniel A. Griffith

    (Syracuse University)

Abstract

A sampling distribution is the frequency distribution of some statistic constructed by taking all possible samples of a given size from a parent population. Sampling distributions of general interest most often are for model parameter estimates, means, variances, and correlation coefficients. All of these distributions are affected by nonzero spatial autocorrelation. Sampling distributions of particular interest in spatial analysis are those for MC, GR, and ρ̂, the autocorrelation parameter of a spatial autoregressive model. The key to establishing a sampling distribution is stipulating what constitutes a sample. Sampling distributions can be explored through use of simulation techniques, resampling procedures, and algebraic analysis.

Suggested Citation

  • Daniel A. Griffith, 2003. "Sampling Distributions Associated with Spatial Autocorrelation," Advances in Spatial Science, in: Spatial Autocorrelation and Spatial Filtering, chapter 3, pages 65-90, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-24806-4_3
    DOI: 10.1007/978-3-540-24806-4_3
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