loess_optnum

Function for determining optimal spatial data discretization for individual variables
based on locally estimated scatterplot smoothing (LOESS) model.

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

loess_optnum function

<dl><dt>qvec</dt>
<dd>A numeric vector of q statistics.</dd>
<dt>discnumvec</dt>
<dd>A numeric vector of break numbers corresponding to <code>qvec</code>.</dd>
<dt>increase_rate</dt>
<dd>(optional) The critical increase rate of the number of discretization.
Default is <code>0.05</code>.</dd></dl>

Arguments

determine optimal spatial data discretization for individual variables — loess_optnum

<dl>

<dt>qvec</dt>
<dd>A numeric vector of q statistics.</dd>


<dt>discnumvec</dt>
<dd>A numeric vector of break numbers corresponding to <code>qvec</code>.</dd>


<dt>increase_rate</dt>
<dd>(optional) The critical increase rate of the number of discretization.
Default is <code>0.05</code>.</dd>

</dl>

loess_optnum: determine optimal spatial data discretization for individual variables

Description

Usage

Value

Arguments

Examples