Current and emerging statistical techniques for aquatic telemetry data: A guide to analysing spatially discrete animal detections-Reference-Cited by-同舟云学术

Current and emerging statistical techniques for aquatic telemetry data: A guide to analysing spatially discrete animal detections

Published:2019-05-14 Issue:7 Volume:10 Page:935-948
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Whoriskey Kim¹^ORCID,Martins Eduardo G.²^ORCID,Auger‐Méthé Marie³⁴^ORCID,Gutowsky Lee F. G.⁵⁶^ORCID,Lennox Robert J.⁵⁷^ORCID,Cooke Steven J.⁵,Power Michael⁸,Mills Flemming Joanna¹

Affiliation:

1. Department of Mathematics and Statistics Dalhousie University Halifax Nova Scotia Canada

2. Ecosystem Science and Management Program University of Northern British Columbia Prince George British Columbia Canada

3. Department of Statistics University of British Columbia Vancouver British Columbia Canada

4. Institute for the Oceans and Fisheries University of British Columbia Vancouver British Columbia Canada

5. Fish Ecology and Conservation Physiology LaboratoryDepartment of Biology Carleton University Ottawa Ontario Canada

6. Aquatic Resource and Monitoring Section Ontario Ministry of Natural Resources and Forestry Peterborough Ontario Canada

7. Laboratory for Freshwater Ecology and Inland Fisheries NORCE Norwegian Research Centre Bergen Norway

8. Department of Biology University of Waterloo Waterloo Ontario Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Canada Research Chairs

BC Hydro

Killam Trusts

Publisher

Wiley

Subject

Ecological Modelling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13188

Reference104 articles.

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2. Spatiotemporal modelling of marine movement data using Template Model Builder (TMB)

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4. Joint Modeling of Live-Recapture, Tag-Resight, and Tag-Recovery Data

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