unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance

Ecological research uses data collection techniques that are prone to substantial and unique types of measurement error to address scientific questions about species abundance and distribution. These data collection schemes include a number of survey methods in which unmarked individuals are counted...

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Main Authors: Ian J. Fiske, Richard B. Chandler
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2011-08-01
Series:Journal of Statistical Software
Subjects:
Online Access:http://www.jstatsoft.org/v43/i10/paper
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author Ian J. Fiske
Richard B. Chandler
author_facet Ian J. Fiske
Richard B. Chandler
author_sort Ian J. Fiske
collection DOAJ
description Ecological research uses data collection techniques that are prone to substantial and unique types of measurement error to address scientific questions about species abundance and distribution. These data collection schemes include a number of survey methods in which unmarked individuals are counted, or determined to be present, at spatially- referenced sites. Examples include site occupancy sampling, repeated counts, distance sampling, removal sampling, and double observer sampling. To appropriately analyze these data, hierarchical models have been developed to separately model explanatory variables of both a latent abundance or occurrence process and a conditional detection process. Because these models have a straightforward interpretation paralleling mechanisms under which the data arose, they have recently gained immense popularity. The common hierarchical structure of these models is well-suited for a unified modeling interface. The R package unmarked provides such a unified modeling framework, including tools for data exploration, model fitting, model criticism, post-hoc analysis, and model comparison.
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spelling doaj.art-44cb6ea52ad9465eb2129a423f70b6152022-12-22T03:07:40ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602011-08-014310unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and AbundanceIan J. FiskeRichard B. ChandlerEcological research uses data collection techniques that are prone to substantial and unique types of measurement error to address scientific questions about species abundance and distribution. These data collection schemes include a number of survey methods in which unmarked individuals are counted, or determined to be present, at spatially- referenced sites. Examples include site occupancy sampling, repeated counts, distance sampling, removal sampling, and double observer sampling. To appropriately analyze these data, hierarchical models have been developed to separately model explanatory variables of both a latent abundance or occurrence process and a conditional detection process. Because these models have a straightforward interpretation paralleling mechanisms under which the data arose, they have recently gained immense popularity. The common hierarchical structure of these models is well-suited for a unified modeling interface. The R package unmarked provides such a unified modeling framework, including tools for data exploration, model fitting, model criticism, post-hoc analysis, and model comparison.http://www.jstatsoft.org/v43/i10/paperecologicalwildlifehierarchicaloccupancyoccurrencedistancepoint count
spellingShingle Ian J. Fiske
Richard B. Chandler
unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance
Journal of Statistical Software
ecological
wildlife
hierarchical
occupancy
occurrence
distance
point count
title unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance
title_full unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance
title_fullStr unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance
title_full_unstemmed unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance
title_short unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance
title_sort unmarked an r package for fitting hierarchical models of wildlife occurrence and abundance
topic ecological
wildlife
hierarchical
occupancy
occurrence
distance
point count
url http://www.jstatsoft.org/v43/i10/paper
work_keys_str_mv AT ianjfiske unmarkedanrpackageforfittinghierarchicalmodelsofwildlifeoccurrenceandabundance
AT richardbchandler unmarkedanrpackageforfittinghierarchicalmodelsofwildlifeoccurrenceandabundance