ABSTRACT
This tessellation is thrown over a 2D area at random and a count is made of all 2D objects sampled by any of the unbiased counting frames. This count multiplied by 1/asf is an unbiased estimate of the total number of 2D objects! Figure 12.2 is an exercise for you to complete, using the sampling frame F5.
