rmvoutlier

Most of the current methods explore spatial association using
observations at sample locations, which are defined as the first
dimension of spatial association (FDA). The proposed concept of
the second dimension of spatial association (SDA),
as described in Yongze Song (2022)
<doi:10.1016/j.jag.2022.102834>, aims to extract
in-depth information about the geographical environment from
locations outside sample locations for exploring spatial
association.

Yongze Song 

SecDim

The Second Dimension of Spatial Association

rmvoutlier function

<dl><dt>x</dt>
<dd>A vector of a variale</dd>
<dt>coef</dt>
<dd>A number of the times of standard deviation. The default value is 2.5.</dd></dl>

Arguments

Removing outliers. — rmvoutlier

<dl>

<dt>x</dt>
<dd>A vector of a variale</dd>


<dt>coef</dt>
<dd>A number of the times of standard deviation. The default value is 2.5.</dd>

</dl>

rmvoutlier: Removing outliers.

Description

Usage

Value

Arguments

Examples