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Spatial Autocorrelation Measures

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Definition

A statistic that assesses the global clustering of spatial data.

Moran’s I and Geary’s C are indices of spatial autocorrelation. A spatial contiguity matrix W ij , with a zero diagonal, and the off-diagonal nonzero elements indicating contiguity of locations i and j are used to code proximities. The most commonly used global indicators of spatial autocorrelation are Moran’s I and Geary’s C which are defined as

$$\displaystyle{ I = \frac{N\sum _{i}\sum _{j}W_{ij}Z_{i}Z_{j}} {\sum _{i}\sum _{i}W_{ij}\sum _{i}Z_{i}^{2}}, }$$
(1)
$$\displaystyle{ C = \frac{(N - 1)\sum _{i}\sum _{j}W_{ij}(x_{i} - x_{j})^{2}} {2\left (\sum _{i}\sum _{j}W_{ij}\right )\sum _{i}Z_{i}^{2}}. }$$
(2)

Z i is the deviation of the variable of interest x i from the mean \(\bar{x}\) at location i, and N is the number of data points.

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Recommended Reading

  • Cliff A, Ord JK (1973) Autocorrelation, spatial. Pion, London

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Correspondence to Sumeeta Srinivasan .

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© 2016 Springer International Publishing Switzerland

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Srinivasan, S. (2016). Spatial Autocorrelation Measures. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_1249-2

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  • DOI: https://doi.org/10.1007/978-3-319-23519-6_1249-2

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