How to Identify and Visualize Spatial Clusters Using ArcGIS and GeoDa

This tutorial uses distributions of mental health related 911 calls in New York City to demonstrate how to utilize ArcGIS and Geoda to conduct an Exploratory Spatial Data Analysis (ESDA) using Global and Local Moran’s I statistics.

Links in Video:
How to Add Zip Code Level Medicaid Enrollment Data to a Primary Care HPSA:    • How to Add Zip Code Level Medicaid En...  

Download GeoDa at: https://geodacenter.github.io/

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00:00 Introduction
00:49 What is Exploratory Spatial Data Analysis?
02:12 NYPD Calls for Service Data
03:09 Display X & Y Coordinates on a Map
05:55 Spatial Join
07:05 Preparing a Shapefile for ESDA Analysis
08:04 Importing Data Into GeoDa and Making a Map
09:12 Creating a Spatial Weights Matrix
12:20 Moran’s I
12:52 Using “Global Moran’s I” to Measure If 54-E Calls Are Randomly Distributed Across NYC
14:22 Using “Local Moran’s I” to Measure If There Are Spatial Clusters or ‘‘Hot Spots’’ of 54-E Calls in NYC
17:16 Conclusion

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