Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Matt Higham

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Plos One|March 9, 2023
spmodel: Spatial statistical modeling and prediction in <math> </math>Michael Dumelle, Matt Higham, Jay M Ver Hoef
Journal of Open Source Software|September 13, 2023
sptotal: an R package for predicting totals and weighted sums from spatial dataMatt Higham, Jay Ver Hoef, Bryce Frank, et al.
Journal of Agricultural, Biological, and Environmental Statistics|October 16, 2023
An Application of Spatio-temporal Modeling to Finite Population Abundance PredictionMatt Higham, Michael Dumelle, Carly Hammond, 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 inferenceMichael Dumelle, Matt Higham, Jay M Ver Hoef, et al.
Plos One|November 1, 2023
Indexing and partitioning the spatial linear model for large data setsJay M Ver Hoef, Michael Dumelle, Matt Higham, et al.
Spatial Statistics|January 6, 2025
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial dataMichael Dumelle, Jay M Ver Hoef, Amalia Handler, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Plos One|March 9, 2023
spmodel: Spatial statistical modeling and prediction in <math> </math>Michael Dumelle, Matt Higham, Jay M Ver Hoef
Journal of Open Source Software|September 13, 2023
sptotal: an R package for predicting totals and weighted sums from spatial dataMatt Higham, Jay Ver Hoef, Bryce Frank, et al.
Journal of Agricultural, Biological, and Environmental Statistics|October 16, 2023
An Application of Spatio-temporal Modeling to Finite Population Abundance PredictionMatt Higham, Michael Dumelle, Carly Hammond, 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 inferenceMichael Dumelle, Matt Higham, Jay M Ver Hoef, et al.
Plos One|November 1, 2023
Indexing and partitioning the spatial linear model for large data setsJay M Ver Hoef, Michael Dumelle, Matt Higham, et al.
Spatial Statistics|January 6, 2025
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial dataMichael Dumelle, Jay M Ver Hoef, Amalia Handler, et al.
Pageof 1