Ridout, Martin S., Linkie, Matthew (2009) Estimating overlap of daily activity patterns from camera trap data. Journal of Agricultural, Biological, and Environmental Statistics, 14 (3). pp. 322-337. ISSN 1085-7117. (doi:10.1198/jabes.2009.08038) (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:24237)
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. | |
Official URL: http://dx.doi.org/10.1198/jabes.2009.08038 |
Abstract
Data from camera traps that record the time of day at which photographs are taken are used widely to study daily activity patterns of photographed species. It is often of interest to compare activity patterns, for example, between males and females of a species or between a predator and a prey species. In this article we propose that the similarity between two activity patterns may be quantified by a measure of the extent to which the patterns overlap. Several methods of estimating this overlap measure are described and their comparative performance for activity data is investigated in a simulation study. The methods are illustrated by comparing activity patterns of three sympatric felid species using data from camera traps in Kerinci Seblat National Park, Sumatra.
Item Type: | Article |
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DOI/Identification number: | 10.1198/jabes.2009.08038 |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics |
Divisions: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science Divisions > Division of Human and Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology) Divisions > Division of Human and Social Sciences > School of Anthropology and Conservation |
Depositing User: | Martin Ridout |
Date Deposited: | 29 Jun 2011 13:53 UTC |
Last Modified: | 05 Nov 2024 10:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/24237 (The current URI for this page, for reference purposes) |
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