|
Area of clusters by method |
|||||
| Methods |
Filtering Sizes or Maximum Spatial Cluster Sizes (miles) |
Significance |
Total Area of Shelby County (sq. meter) |
Clustered Area (sq. meter) |
% of Total Shelby County |
|
|
|||||
| Spatial filtering |
0.40 |
≥ 0.95 level |
6,676,687 |
0.32% |
|
| 0.50 |
≥ 0.95 level |
27,191,960 |
1.32% |
||
| 0.60 |
≥ 0.95 level |
119,492,954 |
5.80% |
||
|
|
|
||||
| SaTScan |
0.40 |
P1 (most likely) = 0.002 |
935,139 |
0.05% |
|
| P2 (secondary) < 0.05 |
2,061,075,094 |
1,523,635 |
0.07% |
||
| 0.50 |
P1 (most likely) = 0.001 |
1,500,352 |
0.07% |
||
| P2 (secondary) < 0.05 |
2,828,068 |
0.14% |
|||
| 0.60 |
P1 (most likely) = 0.001 |
2,344,277 |
0.11% |
||
| P2 (secondary) < 0.05 |
5,145,388 |
0.25% |
|||
Ozdenerol et al. International Journal of Health Geographics 2005 4:19 doi:10.1186/1476-072X-4-19 |
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