Quadrat Analysis_RW_Thomas

0 450 293 191 125 81 53 34 22 14 ii the scale problem

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Unformatted text preview: ale problem because the selection of quadrat size is always an arbitrary procedure, and it is often true that the particular scale of analysis selected may influence the subsequent interpretation of results. In particular, if the hypothesis of randomness in the observed pattern is to be accepted,it must be shown that either the Poisson or the binomial fits the observed frequency array at a variety of different scales. If either of these models do not fit at any one scale, then the hypothesis of randomness must be rejected for all scales and an alternative model of dependence sought. Similarly, when fitting models of dependence the research worker must show that the model's parameter values do not vary significantly with changes in quadrat size, otherwise scale is influencing the interpretation of results in some unknown manner. Dacey (1968) after 27 26 successfully fitting the negative binomial to house distributions in Puerto Rico was able to demonstrate that the model's parameters were fairly stable over three different scales. It has been argued that the scale problem is intrinsically useful to geographers because it encourages them to study the infl...
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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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