velib: The Vélib data set

In funFEM: Clustering in the Discriminative Functional Subspace

Description

This data set contains data from the bike sharing system of Paris, called Vélib. The data are loading profiles of the bike stations over one week. The data were collected every hour during the period Sunday 1st Sept. - Sunday 7th Sept., 2014.

Usage

data(velib)

Format

The format is:

- data: the loading profiles (nb of available bikes / nb of bike docks) of the 1189 stations at 181 time points.

- position: the longitude and latitude of the 1189 bike stations.

- dates: the download dates.

- bonus: indicates if the station is on a hill (bonus = 1).

- names: the names of the stations.

Source

The real time data are available at https://developer.jcdecaux.com/ (with an api key).

References

The data were first used in C. Bouveyron, E. Côme and J. Jacques, The discriminative functional mixture model for the analysis of bike sharing systems, Preprint HAL n.01024186, University Paris Descartes, 2014.

Examples

data(velib)
matplot(t(velib$data[1:5,]),type='l',lty=1,col=2:5,xaxt='n',lwd=2,ylim=c(0,1))
axis(1,at=seq(5,181,6),labels=velib$dates[seq(5,181,6)],las=2)

Example output

Loading required package: MASS
Loading required package: fda
Loading required package: splines
Loading required package: Matrix

Attaching package: 'fda'

The following object is masked from 'package:graphics':

    matplot

Loading required package: elasticnet
Loading required package: lars
Loaded lars 1.2

funFEM documentation built on Oct. 27, 2021, 5:08 p.m.