bixi_station_departures: Daily Departure from BIXI Stations in 2019
In BKTR: Bayesian Kernelized Tensor Regression
bixi_station_departures R Documentation
Daily Departure from BIXI Stations in 2019
Description
These data capture the number of daily departure for 587 bike sharing stations
(rows) through 197 days (columns). The data is limited to the 2019 season of
a Montreal based bike sharing company named BIXI.
Usage
data("bixi_station_departures")
Format
A data frame with 587 rows and 197 columns.
Source
Wang, X., Cheng, Z., Trépanier, M., & Sun, L. (2021).
Modeling bike-sharing demand using a regression model with spatially
varying coefficients. Journal of Transport Geography, 93, 103059.
References
BIXI Montréal (2023). “Open Data.” Accessed: 2023-07-11, URL
https://bixi.com/en/ open-data.
BKTR documentation built on Sept. 12, 2024, 7:04 a.m.
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| bixi_station_departures | R Documentation |
Daily Departure from BIXI Stations in 2019
Description
These data capture the number of daily departure for 587 bike sharing stations (rows) through 197 days (columns). The data is limited to the 2019 season of a Montreal based bike sharing company named BIXI.
Usage
data("bixi_station_departures")Format
A data frame with 587 rows and 197 columns.
Source
Wang, X., Cheng, Z., Trépanier, M., & Sun, L. (2021). Modeling bike-sharing demand using a regression model with spatially varying coefficients. Journal of Transport Geography, 93, 103059.
References
BIXI Montréal (2023). “Open Data.” Accessed: 2023-07-11, URL https://bixi.com/en/ open-data.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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