random.test.data

Generates datasets with random data for modelling including a dependent variable, independent variables and X,Y coordinates.

random data

Implements a spatial extension of the random forest algorithm
(Georganos et al. (2019) <doi:10.1080/10106049.2019.1595177>).
Allows for a geographically weighted random forest regression
including a function to find the optical bandwidth. (Georganos
and Kalogirou (2022) <https://www.mdpi.com/2220-9964/11/9/471>).

Stamatis Kalogirou

SpatialML

Spatial Machine Learning

Stefanos Georganos

random.test.data function

<dl> <dt>nrows</dt>
<dd>an integer referring to the number of rows for a regular grid</dd> <dt>ncols</dt>
<dd>an integer referring to the number of columns for a regular grid</dd> <dt>vars.no</dt>
<dd>an integer referring to the number of independent variables</dd> <dt>dep.var.dis</dt>
<dd>a character referring to the distribution of the dependent variable. Options are "normal" (default) and "poisson"</dd> <dt>xycoords</dt>
<dd>a logical value indicating whether X,Y coordinates will be created (default) or not.</dd></dl>

Arguments

Stamatis Kalogirou &lt;stamatis.science@gmail.com&gt;

Author

Radmom data generator — random.test.data

<dl>

 <dt>nrows</dt>
<dd>an integer referring to the number of rows for a regular grid</dd>

 <dt>ncols</dt>
<dd>an integer referring to the number of columns for a regular grid</dd>

 <dt>vars.no</dt>
<dd>an integer referring to the number of independent variables</dd>

 <dt>dep.var.dis</dt>
<dd>a character referring to the distribution of the dependent variable. Options are "normal" (default) and "poisson"</dd>

 <dt>xycoords</dt>
<dd>a logical value indicating whether X,Y coordinates will be created (default) or not.</dd>

</dl>

random.test.data: Radmom data generator

Description

Usage

Value

Arguments

Author

Details

Examples