VAST: Vector Autoregressive Spatio-Temporal Model

In James-Thorson/VAST: Vector-Autoregressive Spatio-Temporal (VAST) Model

Vector Autoregressive Spatio-Temporal Model

Description

Analyze spatial variatoin in multiple variables representing data species, ages, size-classes, etc. This can be used to implement many types of analysis including:

• species distribution models with residual spatial and spatio-temporal variation, as well as covariates affecting density and catchability

• joint species distribution models (both static and dynamic)

• empirical orthogonal function (EOF) analysis,

• vector autoregressive modelling,

• spatial factor analysis,

• standardization and biomass-expansion of spatially unbalanced samples

Features are built to be compatible among model types, e.g., by allowing catchability and density covariates to be included in EOF analysis.

Details

See fit_model for a simple example of high-level wrapper functions for using VAST.

See Also

VAST for general documentation, make_settings for generic settings, fit_model for model fitting, and plot_results for generic plots

VAST wiki https://github.com/James-Thorson-NOAA/VAST/wiki for examples documenting many different use-cases and features.

GitHub mainpage https://github.com/James-Thorson-NOAA/VAST#description for a list of user resources and publications documenting features

James-Thorson/VAST documentation built on July 18, 2024, 4:27 a.m.