vdl_var

Reminder, have to create an example. This will be exported
after we submit the paper for publication.

Provides functions to estimate, predict and interpolate areal
data. For estimation and prediction we assume areal data is an average
of an underlying continuous spatial process as in Moraga et
al. (2017) <doi:10.1016/j.spasta.2017.04.006>, Johnson et al. (2020)
<doi:10.1186/s12942-020-00200-w>, and Wilson and Wakefield (2020)
<doi:10.1093/biostatistics/kxy041>. The interpolation methodology is
(mostly) based on Goodchild and Lam (1980, ISSN:01652273).

Lucas da Cunha Godoy

smile

Spatial Misalignment: Interpolation, Linkage, and Estimation

vdl_var function

<dl><dt>coords_sf</dt>
<dd><code>sf</code> POINT target dataset.</dd>
<dt>areal_sf</dt>
<dd><code>sf</code> POLYGON source dataset.</dd>
<dt>res_var</dt>
<dd>a <code>character</code> - the name of the variable in the
<code>areal_sf</code> to be estimated in the <code>coords_sf</code>.</dd>
<dt>variance</dt>
<dd>a <code>character</code> - the name of the variable variance in
the <code>areal_sf</code> to be estimated in the <code>coords_sf</code>.</dd>
<dt>var_method</dt>
<dd>a <code>character</code> representing the method to approximate
the variance of the AI estimates. Possible values are "CS"
(Cauchy-Schwartz) or "MI" (Moran's I).</dd>
<dt>buff</dt>
<dd>scalar <code>numeric</code>. Mostly for internal use.</dd></dl>

Arguments

Voronoi Data Linkage - Single variable and variance — vdl_var

<dl>

<dt>coords_sf</dt>
<dd><code>sf</code> POINT target dataset.</dd>


<dt>areal_sf</dt>
<dd><code>sf</code> POLYGON source dataset.</dd>


<dt>res_var</dt>
<dd>a <code>character</code> - the name of the variable in the
<code>areal_sf</code> to be estimated in the <code>coords_sf</code>.</dd>


<dt>variance</dt>
<dd>a <code>character</code> - the name of the variable variance in
the <code>areal_sf</code> to be estimated in the <code>coords_sf</code>.</dd>


<dt>var_method</dt>
<dd>a <code>character</code> representing the method to approximate
the variance of the AI estimates. Possible values are "CS"
(Cauchy-Schwartz) or "MI" (Moran's I).</dd>


<dt>buff</dt>
<dd>scalar <code>numeric</code>. Mostly for internal use.</dd>

</dl>

vdl_var: Voronoi Data Linkage - Single variable and variance

Description

Usage

Value

Arguments