Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosys
Community ecology : analytical methods using R and Excelยฎ
โ Scribed by Gardener, Mark
- Publisher
- Pelagic Publishing
- Year
- 2014
- Tongue
- English
- Series
- Data in the wild series
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
- Starting to look at communities2. Software tools for community ecology3. Recording your data4. Beginning data exploration: using software tools5. Exploring data: choosing your analytical method6. Exploring data: getting insights7. Diversity: species richness8. Diversity: indices9. Diversity: comparing10. Diversity: sampling scale 11. Rank abundance or dominance models 12. Similarity and cluster analysis13. Association analysis: identifying communities14. Ordination Appendices Bibliography Index
๐ SIMILAR VOLUMES
<p><span>Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning
<p><span>Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning
This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the lat
This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the lat
<p><p>Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the quantities under consideration and in supporting decision