Modifications of the Syrjala Test for Testing Spatial Distribution Differences Between Two Populations


Determining whether two spatial distributions are statistically equivalent is the goal of the Syrjala test. When using continuous bivariate data, we show that the original Syrjala test produces different results depending on the data aggregation steps. In this article, we propose modifications to the previous version of the Syrjala test and make comparisons via simulations and an application. Simulation results indicate greater power and a more appropriate type one error rate for our modified Syrjala test. Furthermore, our new approach can be used for environmental data (for which the Syrjala test was originally developed), but also for data that originates from an eye-tracking study conducted at Utah State University.

In 2019 Joint Statistical Meetings (JSM)