Quadrat analysis software for the detection of spatial or temporal clustering

A software program is presented which automates the quadrat analysis procedure for detecting spatial or temporal clustering outlined by Boots and Getis. The software essentially compares observed values within areal or temporal sampling units to those values that would have been obtained were the values distributed randomly. A chi-square test of significance is used to assess whether the values are dispersed in a non-random pattern and a t-test is used to assess whether the values are dispersed in a non-regular pattern. The software requires DOS 3.3 or higher and reads dBase-compatible data files.