morans_i

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

morans_i function

<dl><dt>sf_dt</dt>
<dd>a <code>sf</code> (with POLYGON <code>geometry</code>) dataset.</dd>
<dt>variable</dt>
<dd>a <code>character</code> representing one of the variables from
<code>sf_dt</code>.</dd></dl>

Arguments

Calculates the (global) Moran's I — morans_i

<dl>

<dt>sf_dt</dt>
<dd>a <code>sf</code> (with POLYGON <code>geometry</code>) dataset.</dd>


<dt>variable</dt>
<dd>a <code>character</code> representing one of the variables from
<code>sf_dt</code>.</dd>

</dl>

morans_i: Calculates the (global) Moran's I

Description

Usage

Value

Arguments