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  1. Statistical methods for very large spatial datasets

    Article • PLoS ONE, November 2023, PLOS

    Dr. Jay M. Ver Hoef, Michael Dumelle

  2. sptotal: an R package for predicting totals and weighted sums from spatial data

    Article • The Journal of Open Source Software, May 2023, The Open Journal

    Dr. Jay M. Ver Hoef

  3. spmodel: Spatial statistical modeling and prediction in R

    Article • PLoS ONE, March 2023, PLOS

    Dr. Jay M. Ver Hoef, Michael Dumelle

  4. Spatial Bayesian models project shifts in suitable habitat for Pacific Northwest tree species under climate change

    Article • Ecosphere, March 2023, Wiley

    Dr. Jay M. Ver Hoef

  5. Forests at the fringe: Comparing observed change to projected climate change impacts for five tree species in the Pacific Northwest, United States

    Article • Frontiers in Forests and Global Change, September 2022, Frontiers

    Dr. Jay M. Ver Hoef

  6. A comparison of design‐based and model‐based approaches for finite population spatial sampling and inference

    Article • Methods in Ecology and Evolution, June 2022, Wiley

    Dr. Jay M. Ver Hoef

  7. Bayesian spatio-temporal models for stream networks

    Article • Computational Statistics & Data Analysis, June 2022, Elsevier

    Dr. Jay M. Ver Hoef

  8. Application of a Bayesian hierarchical model to estimate trends in Atlantic harbor seal (Phoca vitulina vitulina) abundance in Maine, U.S.A., 1993–2018

    Article • Marine Mammal Science, September 2021, Wiley

    Dr. Jay M. Ver Hoef

  9. On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive models

    Article • Spatial Statistics, June 2018, Elsevier

    Dr. Jay M. Ver Hoef

  10. Spatial autoregressive models for statistical inference from ecological data

    Article • Ecological Monographs, January 2018, Wiley

    Dr. Jay M. Ver Hoef

  11. Last call: Passive acoustic monitoring shows continued rapid decline of critically endangered vaquita

    Article • The Journal of the Acoustical Society of America, November 2017, Acoustical Society of America (ASA)

    Dr. Jay M. Ver Hoef

  12. Trends in spatial patterns of heavy metal deposition on national park service lands along the Red Dog Mine haul road, Alaska, 2001–2006

    Article • PLoS ONE, May 2017, PLOS

    Dr. Jay M. Ver Hoef

  13. The Torgegram for Fluvial Variography: Characterizing Spatial Dependence on Stream Networks

    Article • Journal of Computational and Graphical Statistics, April 2017, Taylor & Francis

    Dr. Jay M. Ver Hoef

  14. Scalable population estimates using spatial-stream-network (SSN) models, fish density surveys, and national geospatial database frameworks for streams

    Article • Canadian Journal of Fisheries and Aquatic Sciences, February 2017, Canadian Science Publishing

    Dr. Jay M. Ver Hoef

  15. Extinction is Imminent for Mexico's Endemic Porpoise Unless Fishery Bycatch is Eliminated

    Article • Conservation Letters, December 2016, Wiley

    Dr. Jay M. Ver Hoef

  16. Passive acoustic monitoring of the decline of Mexico's critically endangered vaquita

    Article • Conservation Biology, December 2016, Wiley

    Dr. Jay M. Ver Hoef

  17. Spatial Analysis in Ecology

    Article • November 2016, Wiley

    Dr. Jay M. Ver Hoef

  18. Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity

    Article • Proceedings of the National Academy of Sciences, April 2016, Proceedings of the National Academy of Sciences

    Dr. Jay M. Ver Hoef

  19. Spatially Estimating Disturbance of Harbor Seals (Phoca vitulina)

    Article • PLoS ONE, July 2015, PLOS

    Dr. Jay M. Ver Hoef

  20. Iterating on a single model is a viable alternative to multimodel inference

    Article • The Journal of Wildlife Management, May 2015, Wiley

    Dr. Jay M. Ver Hoef

  21. Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts

    Article • Ecological Monographs, May 2015, Wiley

    Dr. Jay M. Ver Hoef

  22. Validation and comparison of geostatistical and spline models for spatial stream networks

    Article • Environmetrics, April 2015, Wiley

    Dr. Jay M. Ver Hoef

  23. Estimating Abundance from Counts in Large Data Sets of Irregularly Spaced Plots using Spatial Basis Functions

    Article • Journal of Agricultural Biological and Environmental Statistics, December 2014, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  24. Evaluation of the spatial linear model, random forest and gradient nearest-neighbour methods for imputing potential productivity and biomass of the Pacific Northwest forests

    Article • Forestry An International Journal of Forest Research, October 2014, Oxford University Press (OUP)

    Dr. Jay M. Ver Hoef

  25. When to be discrete: the importance of time formulation in understanding animal movement

    Article • Movement Ecology, October 2014, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  26. Aerial Survey Data

    Article • September 2014, Wiley

    Dr. Jay M. Ver Hoef

  27. Biogeography

    Article • September 2014, Wiley

    Dr. Jay M. Ver Hoef

  28. Demographic Stochastic Models

    Article • September 2014, Wiley

    Dr. Jay M. Ver Hoef

  29. Model‐Assisted Sampling

    Article • September 2014, Wiley

    Dr. Jay M. Ver Hoef

  30. Spatial Analysis in Ecology

    Article • September 2014, Wiley

    Dr. Jay M. Ver Hoef

  31. Spatial sampling on streams: principles for inference on aquatic networks

    Article • Environmetrics, May 2014, Wiley

    Dr. Jay M. Ver Hoef

  32. Natural and human effects on harbor seal abundance and spatial distribution in an Alaskan glacial fjord

    Article • Marine Mammal Science, May 2014, Wiley

    Dr. Jay M. Ver Hoef

  33. A spatial hierarchical model for abundance of three ice-associated seal species in the eastern Bering Sea

    Article • Statistical Methodology, March 2014, Elsevier

    Dr. Jay M. Ver Hoef

  34. SSN: AnRPackage for Spatial Statistical Modeling on Stream Networks

    Article • Journal of Statistical Software, January 2014, Foundation for Open Access Statistic

    Dr. Jay M. Ver Hoef

  35. STARS: AnArcGISToolset Used to Calculate the Spatial Information Needed to Fit Spatial Statistical Models to Stream Network Data

    Article • Journal of Statistical Software, January 2014, Foundation for Open Access Statistic

    Dr. Jay M. Ver Hoef

  36. Estimating multispecies abundance using automated detection systems: ice‐associated seals in the Bering Sea

    Article • Methods in Ecology and Evolution, November 2013, Wiley

    Dr. Jay M. Ver Hoef

  37. Letter to the Editor

    Article • The American Statistician, August 2013, Taylor & Francis

    Dr. Jay M. Ver Hoef

  38. A Comparison of the Spatial Linear Model to Nearest Neighbor (k-NN) Methods for Forestry Applications

    Article • PLoS ONE, March 2013, PLOS

    Dr. Jay M. Ver Hoef

  39. Modelling dendritic ecological networks in space: an integrated network perspective

    Article • Ecology Letters, March 2013, Wiley

    Dr. Jay M. Ver Hoef

  40. Aerial Survey Data

    Article • August 2012, Wiley

    Dr. Jay M. Ver Hoef

  41. Biodiversity

    Article • August 2012, Wiley

    Dr. Jay M. Ver Hoef

  42. Biogeography

    Article • August 2012, Wiley

    Dr. Jay M. Ver Hoef

  43. Demographic Stochastic Models

    Article • August 2012, Wiley

    Dr. Jay M. Ver Hoef

  44. Model‐Assisted Sampling

    Article • August 2012, Wiley

    Dr. Jay M. Ver Hoef

  45. Spatial Analysis in Ecology

    Article • August 2012, Wiley

    Dr. Jay M. Ver Hoef

  46. Haul-Out Behavior of Harbor Seals (Phoca vitulina) in Hood Canal, Washington

    Article • PLoS ONE, June 2012, PLOS

    Dr. Jay M. Ver Hoef

  47. Who Invented the Delta Method?

    Article • The American Statistician, May 2012, Taylor & Francis

    Dr. Jay M. Ver Hoef

  48. A Bayesian hierarchical model of Antarctic fur seal foraging and pup growth related to sea ice and prey abundance

    Article • Ecological Applications, March 2012, Wiley

    Dr. Jay M. Ver Hoef

  49. Identifying essential summer habitat of the endangered beluga whale Delphinapterus leucas in Cook Inlet, Alaska

    Article • Endangered Species Research, February 2012, Inter-Research Science Center

    Dr. Jay M. Ver Hoef

  50. Practical considerations for experimental designs of spatially autocorrelated data using computer intensive methods

    Article • Statistical Methodology, January 2012, Elsevier

    Dr. Jay M. Ver Hoef

  51. Discretized and Aggregated: Modeling Dive Depth of Harbor Seals from Ordered Categorical Data with Temporal Autocorrelation

    Article • Biometrics, November 2011, Wiley

    Dr. Jay M. Ver Hoef

  52. Implications of ignoring telemetry error on inference in wildlife resource use models

    Article • The Journal of Wildlife Management, April 2011, Wiley

    Dr. Jay M. Ver Hoef

  53. Can We Accurately Characterize Wildlife Resource Use When Telemetry Data Are Imprecise?

    Article • The Journal of Wildlife Management, November 2010, Wiley

    Dr. Jay M. Ver Hoef

  54. Coarse‐Scale Distribution Surveys and Occurrence Probability Modeling for Wolverine in Interior Alaska

    Article • The Journal of Wildlife Management, November 2010, Wiley

    Dr. Jay M. Ver Hoef

  55. A mixed‐model moving‐average approach to geostatistical modeling in stream networks

    Article • Ecology, March 2010, Wiley

    Dr. Jay M. Ver Hoef

  56. A Model‐Based Approach for Making Ecological Inference from Distance Sampling Data

    Article • Biometrics, March 2010, Wiley

    Dr. Jay M. Ver Hoef

  57. A Moving Average Approach for Spatial Statistical Models of Stream Networks

    Article • Journal of the American Statistical Association, March 2010, Taylor & Francis

    Dr. Jay M. Ver Hoef

  58. Rejoinder

    Article • Journal of the American Statistical Association, March 2010, Taylor & Francis

    Dr. Jay M. Ver Hoef

  59. Long‐term recovery patterns of arctic tundra after winter seismic exploration

    Article • Ecological Applications, January 2010, Wiley

    Dr. Jay M. Ver Hoef

  60. Mammal‐eating killer whales and their prey—trend data for pinnipeds and sea otters in the North Pacific Ocean do not support the sequential megafaunal collapse hypothesis

    Article • Marine Mammal Science, July 2009, Wiley

    Dr. Jay M. Ver Hoef

  61. Fast computing of some generalized linear mixed pseudo-models with temporal autocorrelation

    Article • Computational Statistics, June 2009, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  62. Applied Spatial Data Analysis with R. by BIVAND, R. S., PEBESMA, E. J., and GOMEZ‐RUBIO, V.

    Article • Biometrics, May 2009, Wiley

    Dr. Jay M. Ver Hoef

  63. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling

    Article • Ecological Applications, April 2009, Wiley

    Dr. Jay M. Ver Hoef

  64. Spatial modelling and prediction on river networks: up model, down model or hybrid?

    Article • Environmetrics, January 2009, Wiley

    Dr. Jay M. Ver Hoef

  65. A General Framework for the Analysis of Animal Resource Selection from Telemetry Data

    Article • Biometrics, November 2007, Wiley

    Dr. Jay M. Ver Hoef

  66. QUASI-POISSON VS. NEGATIVE BINOMIAL REGRESSION: HOW SHOULD WE MODEL OVERDISPERSED COUNT DATA?

    Article • Ecology, November 2007, Wiley

    Dr. Jay M. Ver Hoef

  67. Spatial methods for plot-based sampling of wildlife populations

    Article • Environmental and Ecological Statistics, September 2007, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  68. An animal movement model incorporating home range and habitat selection

    Article • Environmental and Ecological Statistics, September 2007, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  69. Space—time zero‐inflated count models of Harbor seals

    Article • Environmetrics, August 2007, Wiley

    Dr. Jay M. Ver Hoef

  70. Antler Size of Alaskan Moose Alces Alces Gigas: Effects of Population Density, Hunter Harvest and Use of Guides

    Article • Wildlife Biology, March 2007, Wiley

    Dr. Jay M. Ver Hoef

  71. Geostatistical modelling on stream networks: developing valid covariance matrices based on hydrologic distance and stream flow

    Article • Freshwater Biology, January 2007, Wiley

    Dr. Jay M. Ver Hoef

  72. Spatial modeling of haul-out site use by harbor seals in Cook Inlet, Alaska

    Article • Marine Ecology Progress Series, January 2007, Inter-Research Science Center

    Dr. Jay M. Ver Hoef

  73. Spatial statistical models that use flow and stream distance

    Article • Environmental and Ecological Statistics, December 2006, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  74. GEOGRAPHIC PATTERN OF SERUM ANTIBODY PREVALENCE FOR BRUCELLA SPP. IN CARIBOU, GRIZZLY BEARS, AND WOLVES FROM ALASKA, 1975–1998

    Article • Journal of Wildlife Diseases, July 2006, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  75. SEROLOGIC SURVEY FOR BRUCELLA SPP., PHOCID HERPESVIRUS-1, PHOCID HERPESVIRUS-2, AND PHOCINE DISTEMPER VIRUS IN HARBOR SEALS FROM ALASKA, 1976–1999

    Article • Journal of Wildlife Diseases, April 2006, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  76. Comment on article by Gelfand et al

    Article • Bayesian Analysis, March 2006, Institute of Mathematical Statistics

    Dr. Jay M. Ver Hoef

  77. The sequential megafaunal collapse hypothesis: Testing with existing data

    Article • Progress In Oceanography, February 2006, Elsevier

    Dr. Jay M. Ver Hoef

  78. Spatial patterns of cadmium and lead deposition on and adjacent to National Park Service lands in the vicinity of Red Dog Mine, Alaska

    Article • The Science of The Total Environment, September 2005, Elsevier

    Dr. Jay M. Ver Hoef

  79. Distribution and density of moose in relation to landscape characteristics: effects of scale

    Article • Canadian Journal of Forest Research, September 2005, Canadian Science Publishing

    Dr. Jay M. Ver Hoef

  80. CATCH PER UNIT EFFORT FOR MOOSE: A NEW APPROACH USING WEIBULL REGRESSION

    Article • The Journal of Wildlife Management, July 2005, Wiley

    Dr. Jay M. Ver Hoef

  81. SHORT-TERM IMPACTS OF MILITARY OVERFLIGHTS ON CARIBOU DURING CALVING SEASON

    Article • The Journal of Wildlife Management, July 2005, Wiley

    Dr. Jay M. Ver Hoef

  82. SEROLOGIC SURVEY FOR SELECTED DISEASE AGENTS IN WOLVES (CANIS LUPUS) FROM ALASKA AND THE YUKON TERRITORY, 1984–2000

    Article • Journal of Wildlife Diseases, October 2004, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  83. PREVALENCE OF SOBOLIPHYME BATURINI IN MARTEN (MARTES AMERICANA) POPULATIONS FROM THREE REGIONS OF ALASKA, 1990–1998

    Article • Journal of Wildlife Diseases, July 2004, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  84. Flexible Spatial Models for Kriging and Cokriging Using Moving Averages and the Fast Fourier Transform (FFT)

    Article • Journal of Computational and Graphical Statistics, June 2004, Taylor & Francis

    Dr. Jay M. Ver Hoef

  85. Body size of female calves and natality rates of known-aged females in two adjacent Alaskan caribou herds, and implications for management

    Article • Rangifer, April 2003, University Library at Tromso

    Dr. Jay M. Ver Hoef

  86. Article • Environmental and Ecological Statistics, January 2003, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  87. Climate change and caribou: effects of summer weather on forage

    Article • Canadian Journal of Zoology, April 2002, Canadian Science Publishing

    Dr. Jay M. Ver Hoef

  88. Sampling and geostatistics for spatial data

    Article • Ecoscience, January 2002, Taylor & Francis

    Dr. Jay M. Ver Hoef

  89. Biodiversity

    Article • October 2001, Wiley

    Dr. Jay M. Ver Hoef

  90. Biogeography

    Article • October 2001, Wiley

    Dr. Jay M. Ver Hoef

  91. Model‐Assisted Sampling

    Article • October 2001, Wiley

    Dr. Jay M. Ver Hoef

  92. Population Viability Analysis

    Article • October 2001, Wiley

    Dr. Jay M. Ver Hoef

  93. Spatial Analysis in Ecology

    Article • October 2001, Wiley

    Dr. Jay M. Ver Hoef

  94. SEROLOGIC SURVEY FOR CANINE CORONAVIRUS IN WOLVES FROM ALASKA

    Article • Journal of Wildlife Diseases, October 2001, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  95. Modeling growth of mandibles in the Western Arctic caribou herd

    Article • Rangifer, March 2001, University Library at Tromso

    Dr. Jay M. Ver Hoef

  96. SEROLOGIC SURVEY FOR TOXOPLASMA GONDII IN LYNX FROM INTERIOR ALASKA

    Article • Journal of Wildlife Diseases, January 2001, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  97. Uncertainty and Spatial Linear Models for Ecological Data

    Article • January 2001, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  98. Life-History Consequences of Maternal Condition in Alaskan Moose

    Article • The Journal of Wildlife Management, April 2000, JSTOR

    Dr. Jay M. Ver Hoef

  99. SEROLOGIC SURVEY FOR TOXOPLASMA GONDII IN SELECTED WILDLIFE SPECIES FROM ALASKA

    Article • Journal of Wildlife Diseases, April 2000, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  100. Trichinella sp. in Wolves from Interior Alaska

    Article • Journal of Wildlife Diseases, January 1999, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  101. Constructing and fitting models for cokriging and multivariable spatial prediction

    Article • Journal of Statistical Planning and Inference, June 1998, Elsevier

    Dr. Jay M. Ver Hoef

  102. SEROLOGIC SURVEY FOR PHOCID HERPESVIRUS-1 AND -2 IN MARINE MAMMALS FROM ALASKA AND RUSSIA

    Article • Journal of Wildlife Diseases, July 1997, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  103. SEROLOGIC SURVEY FOR TRICHINELLA SPP. IN GRIZZLY BEARS FROM ALASKA

    Article • Journal of Wildlife Diseases, July 1997, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  104. SEROLOGIC SURVEY FOR TOXOPLASMA GONDII IN GRIZZLY BEARS FROM ALASKA

    Article • Journal of Wildlife Diseases, April 1997, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  105. Parametric Empirical Bayes Methods for Ecological Applications

    Article • Ecological Applications, November 1996, Wiley

    Dr. Jay M. Ver Hoef

  106. Blackbox Kriging: Spatial Prediction without Specifying Variogram Models

    Article • Journal of Agricultural Biological and Environmental Statistics, September 1996, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  107. Spatial Heterogeneity in Eight Central Texas Grasslands

    Article • Journal of Ecology, December 1995, JSTOR

    Dr. Jay M. Ver Hoef

  108. PREVALENCE OF TRICHINELLA NATIVA IN LYNX (FELIS LYNX) FROM ALASKA, 1988–1993

    Article • Journal of Wildlife Diseases, July 1995, Wildlife Disease Association

    Dr. Jay M. Ver Hoef

  109. Case history of the Fortymile Caribou Herd, 1920-1990

    Article • Rangifer, December 1994, University Library at Tromso

    Dr. Jay M. Ver Hoef

  110. Predicting Parturition Rate of Caribou from Autumn Body Mass

    Article • The Journal of Wildlife Management, October 1994, JSTOR

    Dr. Jay M. Ver Hoef

  111. Multivariable spatial prediction

    Article • Journal of the International Association for Mathematical Geology, February 1994, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  112. Impacts on Distribution, Abundance, and Productivity of Harbor Seals

    Article • January 1994, Elsevier

    Dr. Jay M. Ver Hoef

  113. Spatial models for spatial statistics: some unification

    Article • Journal of Vegetation Science, August 1993, Wiley

    Dr. Jay M. Ver Hoef

  114. Multivariable spatial prediction

    Article • Journal of the International Association for Mathematical Geology, February 1993, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  115. Relationship between horizontal pattern and vertical structure in a chalk grassland

    Article • January 1990, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  116. Relationship between horizontal pattern and vertical structure in a chalk grassland

    Article • Vegetatio, October 1989, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  117. Multiscale ordination: a method for detecting pattern at several seales

    Article • Vegetatio, July 1989, Springer Science + Business Media

    Dr. Jay M. Ver Hoef

  118. NorWeST modeled summer stream temperature scenarios for the western U.S.

    Article • USDA Forest Service

    Dr. Jay M. Ver Hoef

  119. NorWeST stream temperature data summaries for the western U.S.

    Article • USDA Forest Service

    Dr. Jay M. Ver Hoef