Skip to main content
USGS - science for a changing world

An Accessible Method for Implementing Hierarchical Models with Spatio-Temporal Abundance Data

Dates

Year
2012

Citation

Ross, Beth E., Hooten, Mevin B., and Koons, David N., 2012, An Accessible Method for Implementing Hierarchical Models with Spatio-Temporal Abundance Data: PLoS ONE, v. 7, no. 11, e49395 p.

Summary

A common goal in ecology and wildlife management is to determine the causes of variation in population dynamics over long periods of time and across large spatial scales. Many assumptions must nevertheless be overcome to make appropriate inference about spatio-temporal variation in population dynamics, such as autocorrelation among data points, excess zeros, and observation error in count data. To address these issues, many scientists and statisticians have recommended the use of Bayesian hierarchical models. Unfortunately, hierarchical statistical models remain somewhat difficult to use because of the necessary quantitative background needed to implement them, or because of the computational demands of using Markov Chain Monte Carlo [...]

Contacts

Tags

Provenance

Data source
File Processing
File Process
Type
End Note
Reference Item
3397 record import test
Reference File
NWBLCC-20160406.xml

Additional Information

Identifiers

Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme 10.1371/journal.pone.0049395

Citation Extension

journalPLoS ONE
parts
typeNotes
value3357
typePages
valuee49395
typeVolume
value7
typeNumber
value11
citationTypeJournal Article

Item Actions

View Item as ...

Save Item as ...

View Item...