sample_vars_fda

Spatial datasets of the first dimension variables of trace elements.

dataset

trace

elements

factors

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

sample_vars_fda function

<code>sample_vars_fda</code>: A list with 8 elements

Format

Yongze Song <a href="/link/yongze.song%40curtin.edu.au?package=SecDim&version=3.2" data-mini-rdoc="SecDim::yongze.song@curtin.edu.au">yongze.song@curtin.edu.au</a>

Author

Spatial datasets of the first dimension variables of trace elements. — sample_vars_fda

Yongze Song <a href='mailto:yongze.song@curtin.edu.au'>yongze.song@curtin.edu.au</a>

sample_vars_fda: Spatial datasets of the first dimension variables of trace elements.

Description

Usage

Arguments

Format

Author