I have carried out a Moran's I test on the residuals of a GLM model in the "ape" package in R which has returned the output below:
Observed: -0.158 Expected: -0.0303 SD: 0.058844 Probability: 0.030002
On this basis is it correct to state that there is negative spatial autocorrelation significant at the 95% confidence?
Am I correct in that an observed value close to -1 would indicate perfect negative autocorrelation and as such the negative autocorrelation seen here is relatively low?
Observed: -0.158 Expected: -0.0303 SD: 0.058844 Probability: 0.030002
On this basis is it correct to state that there is negative spatial autocorrelation significant at the 95% confidence?
Am I correct in that an observed value close to -1 would indicate perfect negative autocorrelation and as such the negative autocorrelation seen here is relatively low?