NDLI: Species Occupancy Modeling for Detection Data Collected Along a Transect

Content Provider	Springer Nature Link
Author	Guillera Arroita, Gurutzeta Morgan, Byron J. T. Ridout, Martin S. Linkie, Matthew
Copyright Year	2011
Abstract	The proportion of sampling sites occupied by a species is a concept of interest in ecology and biodiversity conservation. Occupancy surveys based on collecting detection data along transects have become increasingly popular to monitor some species. To date, the analysis of such data has been carried out by discretizing the data, dividing the transects into discrete segments. Here we propose alternative occupancy models which describe the detection process as a continuous point process. These models provide a more natural description of the data and eliminate the need to divide transects into segments, which can be arbitrary and may lead to increased bias in the estimator of occupancy or increased chances of obtaining estimates on the boundary of the parameter space. We present a model that assumes independence between detections and an alternative model that describes the detection process as a Markov modulated Poisson process to account for potential clustering in the detections. The utility of these models is illustrated with the analysis of data from a recent survey of the Sumatran tiger Panthera tigris sumatrae. The models can also be applied to surveys that collect continuous data in time, such as those based on the use of camera-trap devices. Supplementary materials for this article are available online.
Starting Page	301
Ending Page	317
Page Count	17
File Format	PDF
ISSN	10857117
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume Number	16
Issue Number	3
e-ISSN	15372693
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-01-08
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Clustered data Markov modulated Poisson process Wildlife monitoring Zero-inflated Poisson process Biostatistics Agriculture Statistics for Life Sciences, Medicine, Health Sciences Environmental Monitoring/Analysis
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Erratum to: Species Occupancy Modeling for Detection Data Collected Along a Transect

Erratum to: Species Occupancy Modeling for Detection Data Collected Along a Transect

Markov Modulated Poisson Processes for Clustered Line Transect Data

Bayesian Semiparametric Model for Pathway-Based Analysis with Zero-Inflated Clinical Outcomes

A Note on the Royle–Nichols Model for Repeated Detection–Nondetection Data

Likelihood-based inference for clustered line transect data

A Zero-Inflated Spatial Gamma Process Model With Applications to Disease Mapping

Analysis of Clustered Binary Data With Unequal Cluster Sizes: A Semiparametric Bayesian Approach

Models for microbiological colony counts

Species Occupancy Modeling for Detection Data Collected Along a Transect

Similar Documents

Erratum to: Species Occupancy Modeling for Detection Data Collected Along a Transect

Erratum to: Species Occupancy Modeling for Detection Data Collected Along a Transect

Markov Modulated Poisson Processes for Clustered Line Transect Data

Bayesian Semiparametric Model for Pathway-Based Analysis with Zero-Inflated Clinical Outcomes

A Note on the Royle–Nichols Model for Repeated Detection–Nondetection Data

Likelihood-based inference for clustered line transect data

A Zero-Inflated Spatial Gamma Process Model With Applications to Disease Mapping

Analysis of Clustered Binary Data With Unequal Cluster Sizes: A Semiparametric Bayesian Approach

Models for microbiological colony counts

Species Occupancy Modeling for Detection Data Collected Along a Transect