1. This will be the subject of your next exercise involving real data – like earthquakes and the location of Walmart Stores

2. There is information in the voids There are regions of over density and understanding Code to Count in boundaries!

3. Which side is randomly generated? People Perceive Patterns easily in randomly generated data

4.  Event density that occurs on different spatial scales.  Is there a characteristic scale?

5. OFTEN TIMES CLUSTERING IS HIERARCHICAL

7. Hierarchical clustering and sub clusters

8. K-Means clustering (data mining) Code ExampleGame of Life Example

11. Sub-clustering – sub structure – expectation shapes …

12. CENTROID APPROACH

13. Grids and Poisson Bombs Per Grid

14. Some Links O http://www.seas.upenn.edu/~ese502/NOT EBOOK/Part_I/3_Testing_Spatial_Randomn ess.pdf http://www.seas.upenn.edu/~ese502/NOT EBOOK/Part_I/3_Testing_Spatial_Randomn ess.pdf O http://www.colorado.edu/geography/class_ homepages/geog_4023_s11/Lecture12_Po intPat1.pdf http://www.colorado.edu/geography/class_ homepages/geog_4023_s11/Lecture12_Po intPat1.pdf O https://web.stanford.edu/class/cs345a/slid es/12-clustering.pdf