vor_build

voronoi tessellation of a given a set of points inside a
polygon. This is an internal use function.

internal

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

vor_build function

<dl><dt>points_sf</dt>
<dd><code>sf data frame</code> containing the points' coordinates</dd>
<dt>poly_sf</dt>
<dd>a <code>sf</code> polygon</dd></dl>

Arguments

Voronoi Tessellation inside a polygon — vor_build

<dl>

<dt>points_sf</dt>
<dd><code>sf data frame</code> containing the points' coordinates</dd>


<dt>poly_sf</dt>
<dd>a <code>sf</code> polygon</dd>

</dl>

vor_build: Voronoi Tessellation inside a polygon

Description

Usage

Value

Arguments