Hierarchical Modeling and Inference in Ecology is popular PDF and ePub book, written by J. Andrew Royle in 2008-10-15, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Hierarchical Modeling and Inference in Ecology can be Read Online from any device for your convenience.

Hierarchical Modeling and Inference in Ecology Book PDF Summary

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS Computing support in technical appendices in an online companion web site

Detail Book of Hierarchical Modeling and Inference in Ecology PDF

Hierarchical Modeling and Inference in Ecology
  • Author : J. Andrew Royle
  • Release : 15 October 2008
  • Publisher : Elsevier
  • ISBN : 9780080559254
  • Genre : Science
  • Total Page : 463 pages
  • Language : English
  • PDF File Size : 16,8 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book Hierarchical Modeling and Inference in Ecology by J. Andrew Royle, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

Bayesian Models

Bayesian Models Author : N. Thompson Hobbs,Mevin Hooten
Publisher : Princeton University Press
File Size : 30,8 Mb
Get Book
Bayesian modeling has become an indispensable tool for ecological research because it is uniquely su...

Ecological Models and Data in R

Ecological Models and Data in R Author : Benjamin M. Bolker
Publisher : Princeton University Press
File Size : 15,6 Mb
Get Book
Ecological Models and Data in R is the first truly practical introduction to modern statistical meth...

Spatial Capture Recapture

Spatial Capture Recapture Author : J. Andrew Royle,Richard B. Chandler,Rahel Sollmann,Beth Gardner
Publisher : Academic Press
File Size : 47,8 Mb
Get Book
Spatial Capture-Recapture provides a comprehensive how-to manual with detailed examples of spatial c...

Integrated Population Models

Integrated Population Models Author : Michael Schaub,Marc Kéry
Publisher : Academic Press
File Size : 16,8 Mb
Get Book
Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book o...