Community ecology : analytical methods using R and Excel® /: analytical methods using R and Excel®. ([2014])
- Record Type:
- Book
- Title:
- Community ecology : analytical methods using R and Excel® /: analytical methods using R and Excel®. ([2014])
- Main Title:
- Community ecology : analytical methods using R and Excel®
- Further Information:
- Note: Mark Gardener.
- Authors:
- Gardener, Mark
- Contents:
- Starting to look at communities -- Software tools for community ecology -- Recording your data -- Beginning data exploration: using software tools -- Exploring data: choosing your analytical method -- Exploring data: getting insights -- Diversity: species richness -- Diversity: indices -- Diversity: comparing -- Diversity: sampling scale -- Rank abundance or dominance models -- Similarity and cluster analysis -- Association analysis: identifying communities -- Ordination. About the author; Acknowledgements; Software used; Support material; Reader feedback; Publish with Pelagic Publishing; Contents; Introduction; What you will learn in this book; How this book is arranged; Support files; 1. Starting to look at communities; 1.1 A scientific approach; 1.2 The topics of community ecology; 1.3 Getting data -- using a spreadsheet; 1.4 Aims and hypotheses; 1.5 Summary; 2. Software tools for community ecology; 2.1 Excel; 2.2 Other spreadsheets; 2.3 The R program; 2.4 Summary; 2.5 Exercises; 3. Recording your data; 3.1 Biological data; 3.2 Arranging your data; 3.3 Summary. 3.4 Exercises4. Beginning data exploration:using software tools; 4.1 Beginning to use R; 4.2 Manipulating data in a spreadsheet; 4.3 Getting data from Excel into R; 4.4 Summary; 4.5 Exercises; 5. Exploring data: choosing your analytical method; 5.1 Categories of study; 5.2 How 'classic' hypothesis testing can be used in community studies; 5.3 Analytical methods for community studies; 5.4 Summary; 5.5 Exercises; 6.Starting to look at communities -- Software tools for community ecology -- Recording your data -- Beginning data exploration: using software tools -- Exploring data: choosing your analytical method -- Exploring data: getting insights -- Diversity: species richness -- Diversity: indices -- Diversity: comparing -- Diversity: sampling scale -- Rank abundance or dominance models -- Similarity and cluster analysis -- Association analysis: identifying communities -- Ordination. About the author; Acknowledgements; Software used; Support material; Reader feedback; Publish with Pelagic Publishing; Contents; Introduction; What you will learn in this book; How this book is arranged; Support files; 1. Starting to look at communities; 1.1 A scientific approach; 1.2 The topics of community ecology; 1.3 Getting data -- using a spreadsheet; 1.4 Aims and hypotheses; 1.5 Summary; 2. Software tools for community ecology; 2.1 Excel; 2.2 Other spreadsheets; 2.3 The R program; 2.4 Summary; 2.5 Exercises; 3. Recording your data; 3.1 Biological data; 3.2 Arranging your data; 3.3 Summary. 3.4 Exercises4. Beginning data exploration:using software tools; 4.1 Beginning to use R; 4.2 Manipulating data in a spreadsheet; 4.3 Getting data from Excel into R; 4.4 Summary; 4.5 Exercises; 5. Exploring data: choosing your analytical method; 5.1 Categories of study; 5.2 How 'classic' hypothesis testing can be used in community studies; 5.3 Analytical methods for community studies; 5.4 Summary; 5.5 Exercises; 6. Exploring data: getting insights; 6.1 Error checking; 6.2 Adding extra information; 6.3 Getting an overview of your data; 6.4 Summary; 6.5 Exercises; 7. Diversity: species richness. 7.1 Comparing species richness 7.2 Correlating species richness over time or against an environmental variable; 7.3 Species richness and sampling effort; 7.4 Summary; 7.5 Exercises; 8. Diversity: indices; 8.1 Simpson's index; 8.2 Shannon index; 8.3 Other diversity indices; 8.4 Summary; 8.5 Exercises; 9. Diversity: comparing; 9.1 Graphical comparison of diversity profiles; 9.2 A test for differences in diversity based on the t-test; 9.3 Graphical summary of the t-test for Shannon and Simpson indices; 9.4 Bootstrap comparisons for unreplicated samples; 9.5 Comparisons using replicated samples. 9.6 Summary 9.7 Exercises; 10. Diversity: sampling scale; 10.1 Calculating beta diversity; 10.2 Additive diversity partitioning; 10.3 Hierarchical partitioning; 10.4 Group dispersion; 10.5 Permutation methods; 10.6 Overlap and similarity; 10.7 Beta diversity using alternative dissimilarity measures; 10.8 Beta diversity compared to other variables; 10.9 Summary; 10.10 Exercises; 11. Rank abundance or dominance models; 11.1 Dominance models; 11.2 Fisher's log-series; 11.3 Preston's log normal model; 11.4 Summary; 11.5 Exercises; 12. Similarity and cluster analysis. 12.1 Similarity and dissimilarity 12.2 Cluster analysis; 12.3 Summary; 12.4 Exercises; 13. Association analysis: identifying communities; 13.1 Area approach to identifying communities; 13.2 Transect approach to identifying communities; 13.3 Using alternative dissimilarity measures for identifying communities; 13.4 Indicator species; 13.5 Summary; 13.6 Exercises; 14. Ordination; 14.1 Methods of ordination; 14.2 Indirect gradient analysis; 14.3 Direct gradient analysis; 14.4 Using ordination results; 14.5 Summary; 14.6 Exercises; Appendices; Appendix 1: Answers to exercises. Appendix 2 Custom R commands in this book. … (more)
- Publisher Details:
- Exeter [United Kingdom] : Pelagic Publishing
- Publication Date:
- 2014
- Copyright Date:
- 2014
- Extent:
- 1 online resource (x, 556 pages), illustrations (some color)
- Subjects:
- 519.5
NATURE / Ecology
MATHEMATICS -- Applied
MATHEMATICS -- Probability & Statistics -- General
Biotic communities -- Research -- Methodology
Electronic spreadsheets -- Computer programs
MATHEMATICS / Probability & Statistics / General
Probability & statistics
Excel
Biotic communities -- Research -- Methodology
Electronic spreadsheets -- Computer programs
R (Computer program language) -- Statistical methods
Probability & statistics
Electronic books
Ecological science, the Biosphere - Languages:
- English
- ISBNs:
- 9781907807657
1907807659
9781907807633
1907807632 - Related ISBNs:
- 9781907807640
1907807640
9781907807626
1907807624
9781907807619
1907807616 - Notes:
- Note: Includes bibliographical references (pages 542-546) and index.
Note: Online resource; title from e-book title screen (EBL platform, viewed May 25, 2016). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.307529
- Ingest File:
- 04_018.xml