Spatial Ecology and Conservation Modeling
Fletcher, Robert.
Spatial Ecology and Conservation Modeling Applications with R / [electronic resource] : by Robert Fletcher, Marie-Josée Fortin. - 1st ed. 2018. - XVIII, 523 p. 131 illus., 44 illus. in color. online resource.
Acceso multiusuario
1. Introduction to spatial ecology and its relevance for conservation -- 2. Scale -- 3. Land-cover pattern and change -- 4. Spatial dispersion and point data -- 5. Spatial dependence and autocorrelation -- 6. Accounting for spatial dependence in ecological data -- 7. Species distributions -- 8. Space use and resource selection -- 9. Connectivity -- 10. Population dynamics in space -- 11. Spatially structured communities -- 12. What have we learned? Looking back and pressing forward -- Appendix: An introduction to R.
This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and processes. This book is aimed at teaching fundamental concepts and focuses on learning-by-doing through the use of examples with the software R. It is intended to provide an entry-level, easily accessible foundation for students and practitioners interested in spatial ecology and conservation. .
9783030019891
Landscape ecology.
Statistics .
Ecology .
Conservation biology.
Environmental geography.
Bioinformatics .
Computational biology .
Landscape Ecology.
Statistics for Life Sciences, Medicine, Health Sciences.
Theoretical Ecology/Statistics.
Conservation Biology/Ecology.
Environmental Geography.
Computer Appl. in Life Sciences.
QH541.15.L35
577
Spatial Ecology and Conservation Modeling Applications with R / [electronic resource] : by Robert Fletcher, Marie-Josée Fortin. - 1st ed. 2018. - XVIII, 523 p. 131 illus., 44 illus. in color. online resource.
Acceso multiusuario
1. Introduction to spatial ecology and its relevance for conservation -- 2. Scale -- 3. Land-cover pattern and change -- 4. Spatial dispersion and point data -- 5. Spatial dependence and autocorrelation -- 6. Accounting for spatial dependence in ecological data -- 7. Species distributions -- 8. Space use and resource selection -- 9. Connectivity -- 10. Population dynamics in space -- 11. Spatially structured communities -- 12. What have we learned? Looking back and pressing forward -- Appendix: An introduction to R.
This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and processes. This book is aimed at teaching fundamental concepts and focuses on learning-by-doing through the use of examples with the software R. It is intended to provide an entry-level, easily accessible foundation for students and practitioners interested in spatial ecology and conservation. .
9783030019891
Landscape ecology.
Statistics .
Ecology .
Conservation biology.
Environmental geography.
Bioinformatics .
Computational biology .
Landscape Ecology.
Statistics for Life Sciences, Medicine, Health Sciences.
Theoretical Ecology/Statistics.
Conservation Biology/Ecology.
Environmental Geography.
Computer Appl. in Life Sciences.
QH541.15.L35
577
