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• ## AI-GEOSTATS: AI_GEOSTATS: Moran'I

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• Hello I have two questions: The first one is. If I have the followings results( software R): Moran s I test under randomisation data: Gbull using rank
Message 1 of 2 , Dec 8 5:26 PM
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Hello
I have two questions:

The first one is.
If I have the followings results( software R):

Moran's I test under randomisation

data: Gbull using rank correction
weights: vecinos.listaw

Moran I statistic standard deviate = 2.7854, p-value = 0.002673
alternative hypothesis: greater
sample estimates:
Moran I statistic Expectation Variance
0.232615669 -0.033333333 0.009116604

Can I conclude that there are positive autocorrelation?
How can write the hypothesis?

The second question is:

WhatÂ´s the difference between local indice of spatial autocorrelation and global autocorrelation?

Thank you very much for your help

Carlos

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• Hi, A Moran global I of about 0.23 is a positive autocorrelation, but not a very good one. A very good positive autocorrelation is a Moran global I close to
Message 1 of 2 , Dec 9 1:01 AM
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Hi,

A Moran global I of about 0.23 is a positive autocorrelation, but not
a very good one. A very good positive autocorrelation is a Moran
global I close to 0.5 - for example.

To see the difference and the different interpretations of local and
global Moran look after Luc Anselin 1995 article about LISA: Local
Indices for Spatial Association.

Monica

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