simulation4

Simulation 4 for High Order Spatial Matrix

datasets

Automatically displays the order and spatial weighting matrix of the distance between locations. This concept was derived from the research of Mubarak, Aslanargun, and Siklar (2021) <doi:10.52403/ijrr.20211150> and Mubarak, Aslanargun, and Siklar (2022) <doi:10.17654/0972361722052>. Distance data between locations can be imported from 'Ms. Excel', 'maps' package or created in 'R' programming directly. This package also provides 5 simulations of distances between locations derived from fictitious data, the 'maps' package, and from research by Mubarak, Aslanargun, and Siklar (2022) <doi:10.29244/ijsa.v6i1p90-100>.

Fadhlul Mubarak

hosm

High Order Spatial Matrix

Sukru Acitas

Atilla Aslanargun

Ilyas Siklar

Vinny Yuliani Sundara

simulation4 function

A data frame with 4 locations:<dl>
<dt>Location</dt>
<dd>Name of Location</dd><dt>Ankara (Turkey)</dt>
<dd>Ankara City in Turkey</dd><dt>Jakarta (Indonesia)</dt>
<dd>Jakarta City in Indonesia</dd><dt>London (UK)</dt>
<dd>London City in UK</dd><dt>Washington (USA)</dt>
<dd>Washington in USA</dd>
</dl>

Format

Simulation 4 for High Order Spatial Matrix — simulation4

A data frame with 4 locations:<dl>
<dt>Location</dt>
<dd>Name of Location</dd>

<dt>Ankara (Turkey)</dt>
<dd>Ankara City in Turkey</dd>

<dt>Jakarta (Indonesia)</dt>
<dd>Jakarta City in Indonesia</dd>

<dt>London (UK)</dt>
<dd>London City in UK</dd>

<dt>Washington (USA)</dt>
<dd>Washington in USA</dd>


</dl>

simulation4: Simulation 4 for High Order Spatial Matrix

Description

Usage

Arguments

Format

Examples