Girish Mahajan (Editor)

Geary's C

Updated on
Edit
Like
Comment
Share on FacebookTweet on TwitterShare on LinkedInShare on Reddit

Geary's C is a measure of spatial autocorrelation or an attempt to determine if adjacent observations of the same phenomenon are correlated. Spatial autocorrelation is more complex than autocorrelation because the correlation is multi-dimensional and bi-directional.

Geary's C is defined as

C = ( N 1 ) i j w i j ( X i X j ) 2 2 W i ( X i X ¯ ) 2

where N is the number of spatial units indexed by i and j ; X is the variable of interest; X ¯ is the mean of X ; w i j is a matrix of spatial weights; and W is the sum of all w i j .

The value of Geary's C lies between 0 and 2. 1 means no spatial autocorrelation. Values lower than 1 demonstrate increasing positive spatial autocorrelation, whilst values higher than 1 illustrate increasing negative spatial autocorrelation.

Geary's C is inversely related to Moran's I, but it is not identical. Moran's I is a measure of global spatial autocorrelation, while Geary's C is more sensitive to local spatial autocorrelation.

Geary's C is also known as Geary's contiguity ratio or simply Geary's ratio.

This statistic was developed by Roy C. Geary.

References

Geary's C Wikipedia