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Ecology and Evolution
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July 2, 2020
Robustness of close-kin mark-recapture estimators to dispersal limitation and spatially varying sampling probabilities
Paul B Conn, Mark V Bravington, Shane Baylis, et al.
Biometrics
|
December 1, 2007
A general framework for the analysis of animal resource selection from telemetry data
Devin S Johnson, Dana L Thomas, Jay M Ver Hoef, et al.
Methods in Ecology and Evolution
|
November 7, 2022
A comparison of design-based and model-based approaches for finite population spatial sampling and inference
Michael Dumelle, Matt Higham, Jay M Ver Hoef, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis
|
March 24, 2018
A Bayesian Analysis of Abundance, Trend, and Population Viability for Harbor Seals in Iliamna Lake, Alaska
Peter L Boveng, Jay M Ver Hoef, David E Withrow, et al.
Plos One
|
July 2, 2015
Spatially Estimating Disturbance of Harbor Seals (Phoca vitulina)
John K Jansen, Gavin M Brady, Jay M Ver Hoef, et al.
Journal of Wildlife Diseases
|
October 7, 2004
Prevalence of Soboliphyme baturini in marten (Martes americana) populations from three regions of Alaska, 1990-1998
Randall L Zarnke, Jackson S Whitman, Rodney W Flynn, et al.
Plos One
|
November 1, 2023
Indexing and partitioning the spatial linear model for large data sets
Jay M Ver Hoef, Michael Dumelle, Matt Higham, et al.
Journal of Open Source Software
|
August 28, 2024
SSN2: The next generation of spatial stream network modeling in R
Michael Dumelle, Erin E Peterson, Jay M Ver Hoef, et al.
Ecological Applications : a Publication of the Ecological Society of America
|
May 23, 2012
A Bayesian hierarchical model of Antarctic fur seal foraging and pup growth related to sea ice and prey abundance
Lisa M Hiruki-Raring, Jay M Ver Hoef, Peter L Boveng, et al.
Ecological Applications : a Publication of the Ecological Society of America
|
May 12, 2009
Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling
Noel Cressie, Catherine A Calder, James S Clark, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 36) with videos related to
Sort By:
Page
of 4
Ecology and Evolution
|
July 2, 2020
Robustness of close-kin mark-recapture estimators to dispersal limitation and spatially varying sampling probabilities
Paul B Conn, Mark V Bravington, Shane Baylis, et al.
Biometrics
|
December 1, 2007
A general framework for the analysis of animal resource selection from telemetry data
Devin S Johnson, Dana L Thomas, Jay M Ver Hoef, et al.
Methods in Ecology and Evolution
|
November 7, 2022
A comparison of design-based and model-based approaches for finite population spatial sampling and inference
Michael Dumelle, Matt Higham, Jay M Ver Hoef, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis
|
March 24, 2018
A Bayesian Analysis of Abundance, Trend, and Population Viability for Harbor Seals in Iliamna Lake, Alaska
Peter L Boveng, Jay M Ver Hoef, David E Withrow, et al.
Plos One
|
July 2, 2015
Spatially Estimating Disturbance of Harbor Seals (Phoca vitulina)
John K Jansen, Gavin M Brady, Jay M Ver Hoef, et al.
Journal of Wildlife Diseases
|
October 7, 2004
Prevalence of Soboliphyme baturini in marten (Martes americana) populations from three regions of Alaska, 1990-1998
Randall L Zarnke, Jackson S Whitman, Rodney W Flynn, et al.
Plos One
|
November 1, 2023
Indexing and partitioning the spatial linear model for large data sets
Jay M Ver Hoef, Michael Dumelle, Matt Higham, et al.
Journal of Open Source Software
|
August 28, 2024
SSN2: The next generation of spatial stream network modeling in R
Michael Dumelle, Erin E Peterson, Jay M Ver Hoef, et al.
Ecological Applications : a Publication of the Ecological Society of America
|
May 23, 2012
A Bayesian hierarchical model of Antarctic fur seal foraging and pup growth related to sea ice and prey abundance
Lisa M Hiruki-Raring, Jay M Ver Hoef, Peter L Boveng, et al.
Ecological Applications : a Publication of the Ecological Society of America
|
May 12, 2009
Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling
Noel Cressie, Catherine A Calder, James S Clark, et al.
Page
of 4