map_MS

A simple feature (<code>sf</code>) multipolygon object representing a map of Mato Grosso do Sul, Brazil,
including 11 municipalities.
See <code>@source</code> for access to the complete data set.

datasets

Supports modeling health outcomes using Bayesian hierarchical
spatio-temporal models with complex covariate effects (e.g., linear,
non-linear, interactions, distributed lag linear and non-linear
models) in the 'INLA' framework. It is designed to help users identify key
drivers and predictors of disease risk by enabling streamlined model
exploration, comparison, and visualization of complex covariate effects.
See an application of the modelling framework in Lowe, Lee, O'Reilly et al. (2021)
<doi:10.1016/S2542-5196(20)30292-8>.

Carles Milà

GHRmodel

Bayesian Hierarchical Modelling of Spatio-Temporal Health Data

Giovenale Moirano

Anna B. Kawiecki

Rachel Lowe

map_MS function

A simple feature (sf) object including 11 rows and 2 columns:<dl>
<dt><code>$code</code></dt>
<dd>Unique ID number for each
micro region (11 units)</dd><dt><code>$geometry</code></dt>
<dd>geometries of the sf multipolygon</dd>
</dl>

Format

Administrative Map for Municipalities in the Mato Grosso do Sul — map_MS

A simple feature (sf) object including 11 rows and 2 columns:<dl>
<dt><code>$code</code></dt>
<dd>Unique ID number for each
micro region (11 units)</dd>

<dt><code>$geometry</code></dt>
<dd>geometries of the sf multipolygon</dd>


</dl>

map_MS: Administrative Map for Municipalities in the Mato Grosso do Sul

Description

Usage

Arguments

Format