data frame of commuter flows
This dataset represents commuter flows (work travel) between origin
and destination zones (see cents()).
The data is from the UK and is available as open data:
https://wicid.ukdataservice.ac.uk/.
data(flow)
A data frame with 49 rows and 15 columns
The variables are as follows:
Area.of.residence. id of origin zone
Area.of.workplace id of destination zone
All. Travel to work flows by all modes
[,4:15]. Flows for different modes
id. unique id of flow
Although these variable names are unique to UK data, the data
structure is generalisable and typical of flow data from any source.
The key variables are the origin and destination ids, which link to
the cents georeferenced spatial objects.
Other example data:
destination_zones,
flow_dests,
flowlines,
route_network,
routes_fast,
routes_slow
## Not run:
# This is how the dataset was constructed - see
# https://github.com/npct/pct - if download to ~/repos
flow <- readRDS("~/repos/pct/pct-data/national/flow.Rds")
data(cents)
o <- flow$Area.of.residence %in% cents$geo_code[-1]
d <- flow$Area.of.workplace %in% cents$geo_code[-1]
flow <- flow[o & d, ] # subset flows with o and d in study area
library(devtools)
flow$id <- paste(flow$Area.of.residence, flow$Area.of.workplace)
use_data(flow, overwrite = TRUE)
# Convert flows to spatial lines dataset
flowlines <- od2line(flow = flow, zones = cents)
# use_data(flowlines, overwrite = TRUE)
# Convert flows to routes
routes_fast <- line2route(l = flowlines, plan = "fastest")
routes_slow <- line2route(l = flowlines, plan = "quietest")
use_data(routes_fast)
use_data(routes_slow)
routes_fast_sf <- sf::st_as_sf(routes_fast)
routes_slow_sf <- sf::st_as_sf(routes_slow)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.