plot_annual

Plot annual/seasonal behavior at a specific location.

Implements Bayesian spatio-temporal factor analysis models for multivariate data observed across space and time. The package provides tools for model fitting via Markov chain Monte Carlo (MCMC), spatial and temporal interpolation, and visualization of latent factors and loadings to support inference and exploration of underlying spatio-temporal patterns. Designed for use in environmental, ecological, or public health applications, with support for posterior prediction and uncertainty quantification. Includes functions such as BSTFA() for model fitting and plot_factor() to visualize the latent processes. Functions are based on and extended from methods described in Berrett, et al. (2020) <doi:10.1002/env.2609>.

Candace Berrett

BSTFA

Bayesian Spatio-Temporal Factor Analysis Model

Adam Simpson

plot_annual function

<dl><dt>out</dt>
<dd>Output from BSTFA or BSTFAfull.</dd>
<dt>location</dt>
<dd>Either a single integer indicating the location in the data set to plot or a vector of length 2 providing the longitude and latitude of the new location.</dd>
<dt>add</dt>
<dd>Logical scalar indicating whether the annual/seasonal process should be added to the existing plot. Default is <code>FALSE</code>.</dd>
<dt>years</dt>
<dd>Either <code>'one'</code> (indicating to plot just a single year; default) or <code>'all'</code> (indicating to plot all years in the observed time period).</dd>
<dt>interval</dt>
<dd>Numeric value between 0 and 1 specifying the probability of the credible interval.</dd>
<dt>yrange</dt>
<dd>Numeric vector of length 2 providing the lower and upper bounds of the y-axis. If <code>NULL</code> (default), the y-axis limits are chosen using the range of the seasonal process and data.</dd>
<dt>new_x</dt>
<dd>If the original model included covariates <code>x</code>, include the same covariates for <code>location</code>.</dd></dl>

Arguments

Author

Plot annual/seasonal behavior at a specific location. — plot_annual

<dl>

<dt>out</dt>
<dd>Output from BSTFA or BSTFAfull.</dd>


<dt>location</dt>
<dd>Either a single integer indicating the location in the data set to plot or a vector of length 2 providing the longitude and latitude of the new location.</dd>


<dt>add</dt>
<dd>Logical scalar indicating whether the annual/seasonal process should be added to the existing plot. Default is <code>FALSE</code>.</dd>


<dt>years</dt>
<dd>Either <code>'one'</code> (indicating to plot just a single year; default) or <code>'all'</code> (indicating to plot all years in the observed time period).</dd>


<dt>interval</dt>
<dd>Numeric value between 0 and 1 specifying the probability of the credible interval.</dd>


<dt>yrange</dt>
<dd>Numeric vector of length 2 providing the lower and upper bounds of the y-axis. If <code>NULL</code> (default), the y-axis limits are chosen using the range of the seasonal process and data.</dd>


<dt>new_x</dt>
<dd>If the original model included covariates <code>x</code>, include the same covariates for <code>location</code>.</dd>

</dl>

plot_annual: Plot annual/seasonal behavior at a specific location.

Description

Usage

Value

Arguments

Author

Examples