Applying Graph Theory in Ecological Research
£64.99
- Author: Mark R.T. Dale, University of Northern British Columbia
- Date Published: November 2017
- availability: In stock
- format: Hardback
- isbn: 9781107089310
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Graph theory can be applied to ecological questions in many ways, and more insights can be gained by expanding the range of graph theoretical concepts applied to a specific system. But how do you know which methods might be used? And what do you do with the graph once it has been obtained? This book provides a broad introduction to the application of graph theory in different ecological systems, providing practical guidance for researchers in ecology and related fields. Readers are guided through the creation of an appropriate graph for the system being studied, including the application of spatial, spatio-temporal, and more abstract structural process graphs. Simple figures accompany the explanations to add clarity, and a broad range of ecological phenomena from many ecological systems are covered. This is the ideal book for graduate students and researchers looking to apply graph theoretical methods in their work.
Read more- Covers a broad range of different graphs and their applications, introducing readers to the great possibilities that graphs and networks offer to ecological research
- Many and varied examples, from ecology and other fields, help readers to apply the theory and methods in their own work
- Explanations are given without too much technical mathematics, making this approachable and comprehensible to those without a strong mathematical background
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×Product details
- Date Published: November 2017
- format: Hardback
- isbn: 9781107089310
- length: 344 pages
- dimensions: 253 x 178 x 21 mm
- weight: 0.86kg
- contains: 231 b/w illus. 16 colour illus. 14 tables
- availability: In stock
Table of Contents
Preface
1. Graphs as structure in the ecological context
2. Shapes of graphs: trees to triangles
3. Species interaction networks
4. Trophic networks: structure, partitioning, and dynamics
5. Species associations, communities, and graphs of social structure
6. Competition: hierarchies and reversals
7. Mutualism, parasitism, and bipartite graphs
8. Temporal or time-only graphs
9. Spatial graphs
10. Spatio-temporal graphs
11. Graph structure and system function: graphlet methods
12. Synthesis and future directions
Visual glossary
References
Index
Appendix.
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