Bayesian models for monitoring and forecasting deciduous broadleaf phenology from GOES-16/17 geostationary satellite data — code for Wheeler & Dietze (2019, 2021)
-
Updated
Aug 20, 2026 - HTML
Bayesian models for monitoring and forecasting deciduous broadleaf phenology from GOES-16/17 geostationary satellite data — code for Wheeler & Dietze (2019, 2021)
Monthly habitat suitability maps for high-abundance zooplankton patches ("tau-patches"). Point-and-click Shiny app or YAML-driven R package: Copernicus covariates, derived fronts and lags, four model types. Rebuilt from Ross et al. (2023).
Multivariate GLM/GAM pipeline modeling fish community structure responses to SST, wind, chlorophyll, and kelp biomass forcing in the California Current ecosystem
Presentation outlining the Biodiversity Risk Assessment framework proposed as part of the Alberta Biodiversity Conservation Program
To associate your repository with the ecological-forecasting topic, visit your repo's landing page and select "manage topics."