Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities
By J. Andrew Royle and Robert M. Dorazio
5/5
()
About this ebook
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
J. Andrew Royle
Dr Royle is a Senior Scientist and Research Statistician at the U.S. Geological Survey's Patuxent Wildlife Research Center. His research is focused on the application of probability and statistics to ecological problems, especially those related to animal sampling and demographic modeling. Much of his research over the last 10 years has been devoted to the development of methods illustrated in our new book. He has authored or coauthored more than 100 journal articles, and co-authored the books Spatial Capture Recapture, Hierarchical Modeling and Inference in Ecology and Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, all published by Academic Press.
Read more from J. Andrew Royle
Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models Rating: 5 out of 5 stars5/5Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence Rating: 0 out of 5 stars0 ratingsSpatial Capture-Recapture Rating: 0 out of 5 stars0 ratings
Related to Hierarchical Modeling and Inference in Ecology
Related ebooks
Ecological Models and Data in R Rating: 5 out of 5 stars5/5Applied Statistics for Environmental Science with R Rating: 0 out of 5 stars0 ratingsAn Introduction to Spatial Data Analysis: Remote Sensing and GIS with Open Source Software Rating: 0 out of 5 stars0 ratingsBayesian Population Analysis using WinBUGS: A Hierarchical Perspective Rating: 3 out of 5 stars3/5Bayesian Models: A Statistical Primer for Ecologists Rating: 4 out of 5 stars4/5Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan Rating: 0 out of 5 stars0 ratingsHandbook of Probabilistic Models Rating: 0 out of 5 stars0 ratingsBayesian Inference: With Ecological Applications Rating: 1 out of 5 stars1/5Learning R for Geospatial Analysis Rating: 0 out of 5 stars0 ratingsSpatial Modeling in GIS and R for Earth and Environmental Sciences Rating: 0 out of 5 stars0 ratingsSpatial Analysis Using Big Data: Methods and Urban Applications Rating: 5 out of 5 stars5/5Learning Bayesian Models with R Rating: 5 out of 5 stars5/5Modeling Populations of Adaptive Individuals Rating: 0 out of 5 stars0 ratingsCooperative and Graph Signal Processing: Principles and Applications Rating: 0 out of 5 stars0 ratingsIntegrated Population Models: Theory and Ecological Applications with R and JAGS Rating: 0 out of 5 stars0 ratingsData Assimilation for the Geosciences: From Theory to Application Rating: 0 out of 5 stars0 ratingsAdvances in Subsurface Data Analytics Rating: 0 out of 5 stars0 ratingsRemote Sensing and GIS for Ecologists: Using Open Source Software Rating: 5 out of 5 stars5/5Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences Rating: 5 out of 5 stars5/5Spin Glasses and Complexity Rating: 4 out of 5 stars4/5Understanding Complex Ecosystem Dynamics: A Systems and Engineering Perspective Rating: 0 out of 5 stars0 ratingsMutualistic Networks Rating: 0 out of 5 stars0 ratingsMastering Scientific Computing with R Rating: 3 out of 5 stars3/5Information Physics: Physics-Information and Quantum Analogies for Complex Systems Modeling Rating: 0 out of 5 stars0 ratingsThe Theory of Ecological Communities (MPB-57) Rating: 0 out of 5 stars0 ratingsMastering Text Mining with R Rating: 0 out of 5 stars0 ratingsGraph-Powered Machine Learning Rating: 0 out of 5 stars0 ratingsFlexible Bayesian Regression Modelling Rating: 0 out of 5 stars0 ratingsPopulation Dynamics: New Approaches and Synthesis Rating: 0 out of 5 stars0 ratings
Environmental Science For You
The Hidden Life of Trees | Summary Rating: 4 out of 5 stars4/5The Uncertain Sea: Fear is everywhere. Embrace it. Rating: 4 out of 5 stars4/5Mother of God: An Extraordinary Journey into the Uncharted Tributaries of the Western Amazon Rating: 4 out of 5 stars4/5Silent Spring Rating: 4 out of 5 stars4/5Forest Walking: Discovering the Trees and Woodlands of North America Rating: 5 out of 5 stars5/5Legacy of Luna: The Story of a Tree, a Woman, and the Struggle to Save the Redwoods Rating: 4 out of 5 stars4/5The Big Book of Nature Activities: A Year-Round Guide to Outdoor Learning Rating: 5 out of 5 stars5/5The World Without Us Rating: 4 out of 5 stars4/5Herbology At Home: Making Herbal Remedies Rating: 4 out of 5 stars4/5Herbalism and Alchemy Rating: 0 out of 5 stars0 ratingsThe Secret of Water Rating: 5 out of 5 stars5/5Foraging for Beginners: Your Simplified Guide to Foraging Edible Plants for Survival in the Wild: Self-Sufficient Living Rating: 0 out of 5 stars0 ratingsRooted in Wonder: Nurturing Your Family's Faith Through God's Creation Rating: 0 out of 5 stars0 ratingsThe Invisible Rainbow: A History of Electricity and Life Rating: 4 out of 5 stars4/5Homegrown & Handmade: A Practical Guide to More Self-Reliant Living Rating: 4 out of 5 stars4/5Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge and the Teachings of Plants Rating: 5 out of 5 stars5/5Other Minds: The Octopus, the Sea, and the Deep Origins of Consciousness Rating: 4 out of 5 stars4/5Shelter: A Love Letter to Trees Rating: 4 out of 5 stars4/5Building Natural Ponds: Create a Clean, Algae-free Pond without Pumps, Filters, or Chemicals Rating: 4 out of 5 stars4/5The Sixth Extinction: An Unnatural History Rating: 4 out of 5 stars4/5Sacred Plant Medicine: The Wisdom in Native American Herbalism Rating: 4 out of 5 stars4/5The Book of Hope: A Survival Guide for Trying Times Rating: 4 out of 5 stars4/5The Moneyless Man: A Year of Freeconomic Living Rating: 4 out of 5 stars4/5We Are the Weather: Saving the Planet Begins at Breakfast Rating: 4 out of 5 stars4/5Apocalypse Never: Why Environmental Alarmism Hurts Us All Rating: 4 out of 5 stars4/5Camp Cooking: 100 Years Rating: 4 out of 5 stars4/5
Related categories
Reviews for Hierarchical Modeling and Inference in Ecology
2 ratings0 reviews