stations_df

More information about the Santander bike stations of London (see also ?wtab).

datasets; london; bike-sharing

Implementation of a model-based approach for clustering and multiple change points in dynamic graphs (Marco Corneli, Pierre Latouche and Fabrice Rossi (2018) <doi.org/10.1007/s11222-017-9775-1>).

Margot Selosse

CpDyna

Change Point Detection in Dynamic Graphs

stations_df function

A data.frame with 768 rows and 13 columns.
<dl class="dl-horizontal">
		<dt>id</dt><dd></dd>
		<dt>name</dt><dd></dd>
		<dt>terminalName</dt><dd></dd>
		<dt>lat</dt><dd></dd>
		<dt>long</dt><dd></dd>
		<dt>installed</dt><dd></dd>
		<dt>locked</dt><dd></dd>
		<dt>installDate</dt><dd></dd>
		<dt>removalDate</dt><dd></dd>
		<dt>temporary</dt><dd></dd>
		<dt>nbBikes</dt><dd></dd>
		<dt>nbEmptyDocks</dt><dd></dd>
		<dt>nbDocks</dt><dd></dd>
	</dl>

Format

Santander stations — stations_df

A data.frame with 768 rows and 13 columns.
<dl class='dl-horizontal'>
		<dt>id</dt><dd></dd>
		<dt>name</dt><dd></dd>
		<dt>terminalName</dt><dd></dd>
		<dt>lat</dt><dd></dd>
		<dt>long</dt><dd></dd>
		<dt>installed</dt><dd></dd>
		<dt>locked</dt><dd></dd>
		<dt>installDate</dt><dd></dd>
		<dt>removalDate</dt><dd></dd>
		<dt>temporary</dt><dd></dd>
		<dt>nbBikes</dt><dd></dd>
		<dt>nbEmptyDocks</dt><dd></dd>
		<dt>nbDocks</dt><dd></dd>
	</dl>

stations_df: Santander stations

Description

Usage

Arguments

Format