1. Clusters and Densities
Do features cluster and at what distance?
Ripley’s K (ArcMap)
Plotting Sum of Squares ®
Where are the clusters?
K-Means clustering (R)
Density surfaces
Kernel Density Methods
Hierarchical Methods
Dendrograms

2. Spatial Cluster Analysis
Wikipedia

3. Ripley’s K Measure of spatial homogeneity

4. Ripley’s K - ArcGIS
ArcGIS Help

5. Cluster Analysis
ArcGIS Help

6. Next year, add distances around clusters (concentric circles)

7. Random Data

8. Dispersed Data
Note: The data appears to be clustered because the tool sees it as one large cluster

9. Clusters

10. L(d) Expected: for random data Observed: k drives the model
k = 1 when distance from i to j < d
k = 0 when distance from i to j >=d

11. Multi-Distance Cluster Analysis