Name: Andrew Allyn
Type: User
Company: Gulf of Maine Research Institute
Bio: I am a quantitative ecologist interested in using statistical models to understand where species are, why they are there, and where they might go in the future.
Location: Portland, ME
Blog: https://aallyn.github.io
Andrew Allyn's Projects
Class materials for FSH556: Spatio-temporal models for ecologists in spring 2018 at UW
AD computation with Template Model Builder (TMB)
A repository for code associated with Kery and Royle Applied Hierarchical Modeling in Ecology (first edition)
Public repository for GMRI's coastal ocean and climate adaptation (COCA) project
GMRI Coastal and Oceans Climate Applications work to map current and potential future fish distributions within the Northeast U.S. Large Marine Ecosystem
COCA code shared between ecology and economics team
GMRI Coastal and Oceans Climate Applications work to map current and potential future fish distributions within the Northeast U.S. Large Marine Ecosystem
Analyses to support COCA 19 project
Collection of functions and associated code to make COCA community report figures from SDM and SDM+Econ results.
Repository for COCA Quantitative SDM and Qualitative CVA methods paper (Allyn et al.)
Analysis associated with the COCA NELME Shelfwide coupled ecological-social vulnerability assessment
Awesome CV in R. Based on the vitae package and Dominique Makowski’s template.
Code from live exploratory analyses of data in R
A repository to support fitting and projecting SDMs within Bay of Funday and eastern Nova Scotian waters for
Hands-on activities associated with the Ecological Forecasting book and graduate class
Shared resources for spatio-temporal models
Utility functions for the Gulf of Maine Research Institutes Research Team
Development of Robust Management Strategies for Northeast Groundfish Fisheries in a Changing Climate
A collection of functions and code to work with physical oceanographic data, especially sea surface temperature data from satellites and climate model projections
Investigating the causes and consequences of residual spatial correlation for species distribution models
Assessing how our decisions to account for "season" within species distribution models influences predictive skill for marine species exhibiting different migratory behaviors
:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB
Paper and materials for the paper "Understanding the stochastic partial differential equation approach to smoothing"
Statistical Rethinking course winter 2022