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Applied Forest Ecology & Silviculture Lab |
Book |
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Book by JeriLynn E. Peck
Multivariate Analysis for Community Ecologists: Step-by-Step using PC-ORD
Available from MjM Software at www.pcord.com
Purpose: a) a required supplement to the PC-ORD workshops b) a stand-alone guide for self-taught beginning multivariate analysis using the PC-ORD software Format: The book introduces techniques and procedures in the order in which you would use them if you were to follow this 10-step analysis process:
Contents: 1. Univariate carryover 2. Define your analysis objective 3. Matrix structures 4. Starting in PC-ORD 5. Inputting your data 6. Screening your data 7. Sampling adequacy 8. Structuring your matrices 9. What have you actually measured? 10. What do your zeros mean? 11. What do your non-zeros mean? 12. How variable are your data? 13. Selecting a distance measure 14. Tweaking to improve the signal 15. Reweighting to match the objective 16. Selecting a model form 17. Selecting the tools 18. What is ordination? 19. Weighted averaging (WA) 20. Polar ordination (Bray-Curtis) 21. Canonical correspondence analysis (CCA) 22. Redundancy analysis (RDA) 23. Principal components analysis (PCA) 24. Nonmetric multidimensional scaling (NMS) 25. Cluster analysis 26. Multi-response permutation procedure (MRPP) 27. Distance-based MANOVA (PerMANOVA) 28. SumF 29. Indicator species analysis (ISA) 30. Mantel test 31. Finding your story 32. Communicating your message Appendix A: blank page for note taking Appendix B: Check-list template Appendix C: Example analyses (9 different types) Appendix D: What to report Appendix E: Other PC-ORD tools Appendix F: Further reading What you'll learn: For each tool, there are sections on:
when you should use it Details:
Peck, J.E. 2010. Multivariate Analysis for Community Ecologists: Step-by-Step using PC-ORD. MjM Software Design, Gleneden Beach, OR. 162 pages, spiral bound to lay flat, 100% recycled paper 159 figures p. 42: The description of Whittaker's beta diversity is backwards and should instead read "by dividing gamma diversity by mean alpha diversity (the average for the 'S' column) and subtracting 1". |
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