bixi_spatial_locations: Spatial Locations of Montreal BIXI Stations in 2019
In BKTR: Bayesian Kernelized Tensor Regression
bixi_spatial_locations R Documentation
Spatial Locations of Montreal BIXI Stations in 2019
Description
Data points representing the spatial locations of 587 bike sharing stations for
the Montreal based bike sharing company named BIXI. The dataframe contains
a label to identify each station and its associated longitude and latitude
coordinates.
Usage
data("bixi_spatial_locations")
Format
A data frame with 587 observations on the following 3 variables.
locationa character vector
latitudea numeric vector
longitudea numeric vector
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_spatial_locations | R Documentation |
Spatial Locations of Montreal BIXI Stations in 2019
Description
Data points representing the spatial locations of 587 bike sharing stations for the Montreal based bike sharing company named BIXI. The dataframe contains a label to identify each station and its associated longitude and latitude coordinates.
Usage
data("bixi_spatial_locations")Format
A data frame with 587 observations on the following 3 variables.
locationa character vector
latitudea numeric vector
longitudea numeric vector
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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