Quadrat Analysis_RW_Thomas

Quadrat Analysis_RW_Thomas

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Unformatted text preview: not a positive integer, which is usually the case, the probabilities for the negative binomial are obtained by solving the following density function which is an approximation for (37). (41) (42) (43) The distribution described by equation (37) may be deduced from a number of different premises concerning the processes giving rise to the clustering (see Dacey, 1968). For quadrat analysis the two most important processes which give rise to the negative binomial are termed generalized and compound processes. The formal mathematical description of these two processes is quite complex, however, the basic distinction between the two is quite easily 20 understood. The preceding derivation of the negative binomial is based on the assumption that the distribution is a result of a generalized process. Here the clustering is the result of some basic affinity between the points being studied. Compound processes are the result of some basic imhomogeneity in the population of points. For instance, if in our innovation adoption example the density of the farm population varied sig...
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This note was uploaded on 02/15/2012 for the course GEO 6938 taught by Professor Staff during the Summer '08 term at University of Florida.

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