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Species occupancy modelling for detection data collected along a transect

Guillera-Arroita, Gurutzeta, Morgan, Byron J. T., Ridout, Martin S., Linkie, Matthew (2011) Species occupancy modelling for detection data collected along a transect. Journal of Agricultural, Biological, and Environmental Statistics, 16 (3). pp. 301-317. ISSN 1085-7117. (doi:10.1007/s13253-010-0053-3) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:32978)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/s13253-010-0053-3

Abstract

The proportion of sampling sites occupied by a species is a concept of interest in

tion data along transects have become increasingly popular to monitor some species.

ing the transects into discrete segments. Here we propose alternative occupancy models

vide a more natural description of the data and eliminate the need to divide transects

occupancy or increased chances of obtaining estimates on the boundary of the param-

alternative model that describes the detection process as a Markov modulated Poisson

is illustrated with the analysis of data from a recent survey of the Sumatran tiger Pan-

data in time, such as those based on the use of camera-trap devices. Supplementary ma-

terials for this article are available online.

Item Type: Article
DOI/Identification number: 10.1007/s13253-010-0053-3
Uncontrolled keywords: Clustered data; Markov modulated Poisson process; Wildlife monitoring; Zero-inflated Poisson process.
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QH Natural history > QH541 Ecology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Byron Morgan
Date Deposited: 14 Jan 2013 17:07 UTC
Last Modified: 16 Feb 2021 12:44 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/32978 (The current URI for this page, for reference purposes)
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