Hierarchical modeling and inference in ecology : the analysis of data from populations, metapopulations and communities /

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 us...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Royle, J. Andrew
Other Authors: Dorazio, Robert M.
Format: Electronic eBook
Language:Inglés
Published: Amsterdam ; Boston : Academic, 2008.
Edition:1st ed.
Subjects:
Spatial ecology > Mathematical models.
Spatial ecology > Computer simulation.
�Ecologie spatiale > Mod�eles math�ematiques.
�Ecologie spatiale > Simulation par ordinateur.
SCIENCE > Environmental Science (see also Chemistry > Environmental)
NATURE > Ecosystems & Habitats > Wilderness.
NATURE > Ecology.
SCIENCE > Life Sciences > Ecology.
Spatial ecology > Mathematical models
Online Access:Texto completo
Table of Contents:
  • Introduction; Site-occupancy models; Closed population models; Modelling individual effects in closed populations; Abundance as a state variable; Abundance as a state variable; Dynamic site occupancy models; Cormack-Jolly-Seber models; Jolly-Seber models; Animal community models; Occupancy models with spatial dynamics; Open models for animal communities; Temporaly dynamic models for abundance; Other potential topics; Statistical concepts and philosophy; Appendices (online or in text)
  • Appendix1: R-tutorial, Sample R-functions for implementing several methods
  • Appendix2: WinBUGS tutorial and R2WinBUGS package
  • Appendix3:Sample WinBUGS and R-scripts for examples used in book.

Similar Items