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Spatial Ecology and Conservation Modeling = Applications with R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spatial Ecology and Conservation Modeling/ by Robert Fletcher, Marie-Josée Fortin.
Reminder of title:	Applications with R /
Author:	Fletcher, Robert.
other author:	Fortin, Marie-Josée.
Description:	XVIII, 523 p. 131 illus., 44 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Landscape ecology. -
Online resource:	https://doi.org/10.1007/978-3-030-01989-1
ISBN:	9783030019891

Spatial Ecology and Conservation Modeling = Applications with R /
Fletcher, Robert.

Spatial Ecology and Conservation ModelingApplications with R /[electronic resource] :by Robert Fletcher, Marie-Josée Fortin. - 1st ed. 2018. - XVIII, 523 p. 131 illus., 44 illus. in color.online resource.

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. .

ISBN: 9783030019891

Standard No.: 10.1007/978-3-030-01989-1doiSubjects--Topical Terms:

595765
Landscape ecology.

LC Class. No.: QH541.15.L35

Dewey Class. No.: 577

Spatial Ecology and Conservation Modeling = Applications with R /
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