Topic:

Presenter: Dr. Geoffrey Jacquez

Many spatial statistics can be expressed as randomization tests. Because of their simplicity and generality, an understanding of randomization tests provides insights to the construction and behavior of autocorrelation statistics such as Geary's c and Moran's I; and to disease cluster tests such as Cuzick and Edward's test, Mantel's test, the Knox text and many others. By the end of this presentation you should know what a randomization test is and how randomization tests are applied to spatial statistics. You will know the advantages and disadvantages of the randomization approach, and you will be able to identify the five components of a spatial statistical test.

OBJECTIVES: After completing this module you should be able to:

• Identify the five components necessary to construct a test for spatial pattern;
• Contrast randomization tests with statistical tests based on distribution theory;
• Construct a simple randomization test for assessing spatial autocorrelation.

• SCENARIO 1