Changes in zonal boundaries severely compromise the reliability of comparisons made from time series data. We examine problems and solutions to the development of a temporally consistent spatial structure in the context of the literature on zone design. Four main approaches to the development of com
QUADRAT ANALYSIS SOFTWARE FOR THE DETECTION OF SPATIAL OR TEMPORAL CLUSTERING
โ Scribed by ADAM G. SKELTON
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 178 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0277-6715
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โฆ Synopsis
A software program is presented which automates the quadrat analysis procedure for detecting spatial or temporal clustering outlined by Boots and Getis.' The software essentially compares observed values within areal or temporat sampling units to those values that would have been obtained were the values distributed randomly. A chi-square test of significance is used to assess whether the values are dispersed in a non-random pattern and a t-test is used to assess whether the values are dispersed in a non-regular pattern. The software requires DOS 3.3 or higher and reads dBase-compatable data files.
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