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Applications of Bootstrap Methods for Canonical Correspondence Analysis
- Issue Date
- Jun-2015
- Publisher
- KOREAN STATISTICAL SOC
- Keywords
- canonical correspondence analysis; bootstrap method; the variation of coordinate point; the distance between coordinate points; the explanation power of axis; statistical inference
- Citation
- KOREAN JOURNAL OF APPLIED STATISTICS, v.28, no.3, pp.485 - 494
- Indexed
- KCI
- Journal Title
- KOREAN JOURNAL OF APPLIED STATISTICS
- Volume
- 28
- Number
- 3
- Start Page
- 485
- End Page
- 494
- ISSN
- 1225-066X
- Abstract
- Canonical correspondence analysis is an ordination method used to visualize the relationships among sites, species and environmental variables. However, projection results are fluctuations if the samples slightly change and consistent interpretation on ecological similarity among species tends to be difficult. We use the bootstrap methods for canonical correspondence analysis to solve this problem. The bootstrap method results show that the variations of coordinate points are inversely proportional to the number of observations and coverage rates with bootstrap confidence interval approximates to nominal probabilities.
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