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Josh M. London
Josh M. London
National Marine Mammal Laboratory, National Marine Fisheries Service
Verified email at noaa.gov
Title
Cited by
Cited by
Year
Continuous‐time correlated random walk model for animal telemetry data
DS Johnson, JM London, MA Lea, JW Durban
Ecology 89 (5), 1208-1215, 2008
6082008
Alaska marine mammal stock assessments, 2020
MM Muto, VT Helker, BJ Delean, NC Young, JC Freed, RP Angliss, ...
1582021
Estimating multispecies abundance using automated detection systems: ice‐associated seals in the Bering Sea
PB Conn, JM Ver Hoef, BT McClintock, EE Moreland, JM London, ...
Methods in Ecology and Evolution 5 (12), 1280-1293, 2014
812014
Status review of the ribbon seal (Histriophoca fasciata)
PL Boveng, JL Bengtson, MF Cameron, SP Dahle, EA Logerwell, ...
662013
Haul-out behavior of harbor seals (Phoca vitulina) in Hood Canal, Washington
JM London, JM Ver Hoef, SJ Jeffries, MM Lance, PL Boveng
PLoS One 7 (6), e38180, 2012
642012
Modelling animal movement using the Argos satellite telemetry location error ellipse
BT McClintock, JM London, MF Cameron, PL Boveng
Methods in Ecology and Evolution 6 (3), 266-277, 2015
612015
crawl: an R package for fitting continuous-time correlated random walk models to animal movement data
DS Johnson, JM London
Zenodo doi 10, 2018
602018
Viral emergence in marine mammals in the North Pacific may be linked to Arctic sea ice reduction
E VanWormer, JAK Mazet, A Hall, VA Gill, PL Boveng, JM London, ...
Scientific Reports 9 (1), 1-11, 2019
522019
Bridging the gaps in animal movement: hidden behaviors and ecological relationships revealed by integrated data streams
BT McClintock, JM London, MF Cameron, PL Boveng
Ecosphere 8 (3), e01751, 2017
492017
Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts
PB Conn, DS Johnson, JMV Hoef, MB Hooten, JM London, PL Boveng
Ecological Monographs 85 (2), 235-252, 2015
482015
A spatial hierarchical model for abundance of three ice-associated seal species in the eastern Bering Sea
JM Ver Hoef, MF Cameron, PL Boveng, JM London, EE Moreland
Statistical Methodology 17, 46-66, 2014
482014
Dynamic social networks based on movement
HR Scharf, MB Hooten, BK Fosdick, DS Johnson, JM London, JW Durban
442016
Fast computing of some generalized linear mixed pseudo-models with temporal autocorrelation
JM Ver Hoef, JM London, PL Boveng
Computational Statistics 25, 39-55, 2010
392010
Bayesian inference for animal space use and other movement metrics
DS Johnson, JM London, CE Kuhn
Journal of agricultural, biological, and environmental statistics 16, 357-370, 2011
352011
Observations of harbor seal predation on Hood Canal salmonids from 1998 to 2000
JM London, MM Lance, S Jeffries
Washington Department of Fish and Wildlife, 2002
332002
Harbor seals in Hood Canal: predators and prey
JM London
University of Washington, 2006
302006
A multi-species synthesis of satellite telemetry data in the Pacific Arctic (1987–2015): overlap of marine mammal distributions and core use areas
JJ Citta, LF Lowry, LT Quakenbush, BP Kelly, AS Fischbach, JM London, ...
Deep Sea Research Part II: Topical Studies in Oceanography 152, 132-153, 2018
212018
A Bayesian analysis of abundance, trend, and population viability for harbor seals in Iliamna Lake, Alaska
PL Boveng, JMV Hoef, DE Withrow, JM London
Risk Analysis 38 (9), 1988-2009, 2018
122018
Quantitative assessment of species identification in aerial transect surveys for ice‐associated seals
BT McClintock, EE Moreland, JM London, SP Dahle, GM Brady, ...
Marine Mammal Science 31 (3), 1057-1076, 2015
112015
& Durban, JW Continuous-time correlated random walk model for animal telemetry data
DS Johnson, JM London, MA Lea
Ecology 89, 1208-1215, 2008
102008
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