Quadrat Analysis_RW_Thomas

It has been argued that the scale problem is

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Unformatted text preview: uence of space on the processes controlling a pattern. However, to date, the results of such research have not been very illuminating. Rogers (1974), in a study of shop distributions in Ljubljana, Yugoslavia, was able to demonstrate that different quadrat sizes were appropriate for different shop type distributions. For any distribution the optimal quadrat size was defined as that which maxiHowever, although Rogers identified optimal scales he was unable to interpret their geographical significance. One of the most well-known,and ingenious treatments of scale effects is the approach taken by Greig-Smith (1952). His scheme is to test for randomness at a variety of scales within a square quadrat census where the number of cells on each axis is some power of 2. The test is again based on the property of the Poisson distribution that its mean equals its variance, and is designed as a hierarchical analysis of variance. Figure 5 illustrates an example of a 4 x 4 census that could be used for the test. The data are the number of points in each...
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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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