Spatial Autocorrelation: Global Moran's I

Example of Global Moran's I for assessing spatial autocorrelation in ArcPro.

This material is based upon work supported by the U.S. Geological Survey under Grant/Cooperative Agreement No. G18AP00077.

The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey.

[tbonesimon]

This is so much more helpful than the ESRI help files. Thanks

[Hot-Dog-Racing]

Omg, I don't know you, but I love you. This video makes so much sense and is super concise.

[MuhammadAli-jnkh]

Simple, concise and well explained.
Thank you

[wigorek]

since p-value = 0 why do we fail to reject h0? we should reject h0 and accept hA - which suggest positive autocorrelation - clustering. Correct me if im wrong :D

[bondeandeebowl]

Make more videos, please! This was so helpful.

[TheBarOst]

could you help me please.
I have 4 variables: country, CO2 emissions, latitude and longitude.
Is it enough to do Moran's I?
I would like to see if CO2 emissions are spatially correlated

[erfan_mehraban]

simplest explained spatial video ever :))

[clyiqor]

It's so irritating to listen people specially so-called teachers speaking in low voice