Topic:

Presenter: Dr. Geoffrey Jacquez

Many spatial statistics are special cases of a flexible mathematical form called the Gamma product. This module describes the Gamma product and its constituent parts including proximity metrics, data metrics, and spatial randomization procedures. Because it is so flexible, the Gamma product provides a ready means for creating `Designer' spatial statistics customized to specific requirements.

OBJECTIVES: Those who successfully complete the module should

• how spatial statistics can be represented as a Gamma product;
• what proximity and data metrics are, and how they are quantified;
• the correspondence between constituents of the Gamma product and the null hypothesis, alternative hypothesis, and test statistic.

• SCENARIO 1