moran_test

global spatial autocorrelation test

Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science,
while serving as a basis for other packages maintained by Wenbo Lv.

Wenbo Lv

sdsfun

Spatial Data Science Complementary Features

moran_test function

<dl><dt>sfj</dt>
<dd>An <code>sf</code> object or can be converted to <code>sf</code> by <code><a href="https://r-spatial.github.io/sf/reference/st_as_sf.html">sf::st_as_sf()</a></code>.</dd>
<dt>wt</dt>
<dd>(optional) Spatial weight matrix. Must be a <code>matrix</code> class. If <code>wt</code> is not
provided, <code>sdsfun</code> will use a first-order queen adjacency binary matrix.</dd>
<dt>alternative</dt>
<dd>(optional) Specification of alternative hypothesis as <code>greater</code> (default),
<code>lower</code>, or <code>two.sided</code>.</dd>
<dt>symmetrize</dt>
<dd>(optional) Whether or not to symmetrize the asymmetrical spatial weight matrix
wt by: 1/2 * (wt + wt'). Default is <code>FALSE</code>.</dd></dl>

Arguments

global spatial autocorrelation test — moran_test

<dl>

<dt>sfj</dt>
<dd>An <code>sf</code> object or can be converted to <code>sf</code> by <code><a href='https://r-spatial.github.io/sf/reference/st_as_sf.html'>sf::st_as_sf()</a></code>.</dd>


<dt>wt</dt>
<dd>(optional) Spatial weight matrix. Must be a <code>matrix</code> class. If <code>wt</code> is not
provided, <code>sdsfun</code> will use a first-order queen adjacency binary matrix.</dd>


<dt>alternative</dt>
<dd>(optional) Specification of alternative hypothesis as <code>greater</code> (default),
<code>lower</code>, or <code>two.sided</code>.</dd>


<dt>symmetrize</dt>
<dd>(optional) Whether or not to symmetrize the asymmetrical spatial weight matrix
wt by: 1/2 * (wt + wt'). Default is <code>FALSE</code>.</dd>

</dl>

moran_test: global spatial autocorrelation test

Description

Usage

Value

Arguments

Examples