Quadrat Analysis_RW_Thomas

In writing this monograph it has been assumed that

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Unformatted text preview: that the reader is familiar with basic descriptive statistics and the more elementary notions of significance testing. The additional probability theory required to understand quadrat methods is presented in sections II, IV and VI. The more complicated theoretical sections have been starred and may be omitted on first reading. Section II of the monograph begins by describing the reasoning that leads to the establishment of random probability distributions. Section III describes the statistical procedures we may adopt to test for the goodness-of-fit between a theoretical and the observed distribution, while Section IV considers the more difficult problem of constructing probability distributions which model situations where the locations of points are dependent on one another. The remaining sections examine some of the problems arising from the application of quadrat methods in geography and also offer some alternative approaches to these problems. plied through by successive values of m, the...
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