Abstract

Algorithms for Dirichlet tessellation of spatial points are developed and implemented on personal computer. Up to 3000 tessellations of points in an area of any rectangular dimensions can be scaled appropriately and viewed on computer screen or output to laser printer. The program also calculates Dirichlet cell areas and their coefficient of variation (CV) as well as the average nearest neighbour distance between points. Simulations revealed the polynomial relationship between the CV and the minimum spacing between points. The relationship is used to predict the percentage of maximum spacing that is exhibited by a population

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