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Cycle hire points in London

Source: R/cycle_hire.R
cycle_hire.Rd

Points representing cycle hire points accross London.

Usage

cycle_hire

Format

FORMAT:

  • id: Id of the hire point

  • name: Name of the point

  • area: Area they are in

  • nbikes: The number of bikes currently parked there

  • nempty: The number of empty places

  • geometry: sfc_POINT

Source

https://www.data.gov.uk/

Examples

if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(cycle_hire)
  # or
  cycle_hire <- st_read(system.file("shapes/cycle_hire.geojson", package="spData"))
  
  plot(cycle_hire)
}
#> Reading layer `cycle_hire' from data source 
#>   `/home/runner/work/_temp/Library/spData/shapes/cycle_hire.geojson' 
#>   using driver `GeoJSON'
#> Simple feature collection with 742 features and 5 fields
#> Geometry type: POINT
#> Dimension:     XY
#> Bounding box:  xmin: -0.2367699 ymin: 51.45475 xmax: -0.002275 ymax: 51.54214
#> Geodetic CRS:  WGS 84


if (FALSE) { # \dontrun{
# Download the data
cycle_hire = readr::read_csv("http://cyclehireapp.com/cyclehirelive/cyclehire.csv", 
  col_names = FALSE, skip = TRUE)
cycle_hire = cycle_hire[c_names]
c_names = c("id", "name", "area", "lat", "lon", "nbikes", "nempty")
cycle_hire = st_sf(cycle_hire, st_multipoint(c_names[c("lon", "lat")]))
} # }