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...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Foundation for Open Access Statistics
2011-08-01
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Series: | Journal of Statistical Software |
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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. |
first_indexed | 2024-04-13T01:59:15Z |
format | Article |
id | doaj.art-44cb6ea52ad9465eb2129a423f70b615 |
institution | Directory Open Access Journal |
issn | 1548-7660 |
language | English |
last_indexed | 2024-04-13T01:59:15Z |
publishDate | 2011-08-01 |
publisher | Foundation for Open Access Statistics |
record_format | Article |
series | Journal of Statistical Software |
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 |