geocd_swm

constructing spatial weight matrix based on geocomplexity with spatial dependence

The geographical complexity of individual variables can be characterized by the differences in local attribute variables, while the common geographical complexity of multiple variables can be represented by fluctuations in the similarity of vectors composed of multiple variables. In spatial regression tasks, the goodness of fit can be improved by incorporating a geographical complexity representation vector during modeling, using a geographical complexity-weighted spatial weight matrix, or employing local geographical complexity kernel density. Similarly, in spatial sampling tasks, samples can be selected more effectively by using a method that weights based on geographical complexity. By optimizing performance in spatial regression and spatial sampling tasks, the spatial bias of the model can be effectively reduced.

Wenbo Lv

geocomplexity

Mitigating Spatial Bias Through Geographical Complexity

Yongze Song

geocd_swm function

<dl><dt>sfj</dt>
<dd>An <code>sf</code> object or spatial vector object that 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 based on spatial adjacency or spatial distance relationships.</dd>
<dt>style</dt>
<dd>(optional) A character that can be <code>B</code>,<code>W</code>,<code>C</code>. More to see <code>spdep::nb2mat()</code>.
Default is <code>B</code>.</dd>
<dt>...</dt>
<dd>(optional) Other parameters passed to <code>geocomplexity::geocd_vector()</code>.</dd></dl>

Arguments

constructing spatial weight matrix based on geocomplexity with spatial dependence — geocd_swm

<dl>

<dt>sfj</dt>
<dd>An <code>sf</code> object or spatial vector object that 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 based on spatial adjacency or spatial distance relationships.</dd>


<dt>style</dt>
<dd>(optional) A character that can be <code>B</code>,<code>W</code>,<code>C</code>. More to see <code>spdep::nb2mat()</code>.
Default is <code>B</code>.</dd>


<dt>...</dt>
<dd>(optional) Other parameters passed to <code>geocomplexity::geocd_vector()</code>.</dd>

</dl>

geocd_swm: constructing spatial weight matrix based on geocomplexity with spatial dependence

Description

Usage

Value

Arguments

Examples