Global cluster detection methods are used to investigate the presence of spatial patterns anywhere within the study area. They attempt to answer the question: Are there any unusual disease patterns? These tests focus on whether clustering exists or not, regardless of location or scope. Essentially, the method evaluates whether a spatial pattern exists in the data that is unlikely to have arisen by chance. The null hypothesis for these methods is simply "no clustering exists."
Global cluster methods available in ClusterSeer:
|
Individual-level data |
Group-level data |
Grimson's method can be used with either individual or group level data. For surveillance of spatial data, use Rogerson's Method.