transform.sf

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

transform.sf function

<dl><dt>_data</dt>
<dd>a <code>sf</code> object</dd>
<dt>...</dt>
<dd>additional options</dd></dl>

Arguments

Transform method for sf objects — transform.sf

<dl>

<dt>_data</dt>
<dd>a <code>sf</code> object</dd>


<dt>...</dt>
<dd>additional options</dd>

</dl>

transform.sf: Transform method for `sf` objects

Description

Usage

Value

Arguments