Package 'cyclestreets'

Title: Cycle Routing and Data for Cycling Advocacy
Description: An interface to the cycle routing/data services provided by 'CycleStreets', a not-for-profit social enterprise and advocacy organisation. The application programming interfaces (APIs) provided by 'CycleStreets' are documented at (<https://www.cyclestreets.net/api/>). The focus of this package is the journey planning API, which aims to emulate the routes taken by a knowledgeable cyclist. An innovative feature of the routing service of its provision of fastest, quietest and balanced profiles. These represent routes taken to minimise time, avoid traffic and compromise between the two, respectively.
Authors: Robin Lovelace [aut, cre] , Martin Lucas-Smith [aut], Eric Krueger [ctb], Joey Talbot [aut] , Malcolm Morgan [ctb]
Maintainer: Robin Lovelace <[email protected]>
License: GPL-3
Version: 1.0.2
Built: 2024-11-07 22:30:49 UTC
Source: https://github.com/cyclestreets/cyclestreets-r

Help Index

Interface to CycleStreets Batch Routing API

Description

Note: set CYCLESTREETS_BATCH, CYCLESTREETS_PW and CYCLESTREETS_PW environment variables, e.g. with usethis::edit_r_environ() before trying this.

Usage

batch(
  desire_lines = NULL,
  id = NULL,
  directory = tempdir(),
  wait = FALSE,
  wait_time = NULL,
  name = "Batch job",
  serverId = 21,
  strategies = "quietest",
  bothDirections = 0,
  minDistance = 50,
  maxDistance = 5000,
  filename = "test",
  includeJsonOutput = 1,
  emailOnCompletion = "[email protected]",
  username = Sys.getenv("CYCLESTREETS_UN"),
  password = Sys.getenv("CYCLESTREETS_PW"),
  base_url = "https://api.cyclestreets.net/v2/batchroutes.createjob",
  pat = Sys.getenv("CYCLESTREETS_BATCH"),
  silent = TRUE,
  delete_job = TRUE,
  cols_to_keep = c("id", "name", "provisionName", "distances", "time", "quietness",
    "gradient_smooth"),
  segments = TRUE
)

Arguments

desire_lines

Geographic desire lines representing origin-destination data
id

int Batch job ID, as returned from batchroutes.createjob. action string (start|pause|continue|terminate) Action to take. Available actions are: start: Start (open) job pause: Pause job continue: Continue (re-open) job terminate: Terminate job and delete data
directory

Where to save the data? tempdir() by default
wait

Should the process block your R session but return a route? FALSE by default.
wait_time

How long to wait before getting the data in seconds? NULL by default, meaning it will be calculated by the private function wait_s().
name

The name of the batch routing job for CycleStreets
serverId

The server ID to use (21 by default)
strategies

Route plan types, e.g. "fastest"
bothDirections

int (1|0) Whether to plan in both directions, i.e. A-B as well as B-A. 0, meaning only one way routes, is the default in the R default.
minDistance

Min Euclidean distance of routes to be calculated
maxDistance

Maximum Euclidean distance of routes to be calculated
filename

Character string
includeJsonOutput

int (1|0) Whether to include a column in the resulting CSV data giving the full JSON output from the API, rather than just summary information like distance and time.
emailOnCompletion

Email on completion?
username

string Your CycleStreets account username. In due course this will be replaced with an OAuth token.
password

string Your CycleStreets account password. You can set it with Sys.setenv(CYCLESTREETS_PW="xxxxxx")
base_url

The base url from which to construct API requests (with default set to main server)
pat

The API key used. By default this uses Sys.getenv("CYCLESTREETS").
silent

Logical (default is FALSE). TRUE hides request sent.
delete_job

Delete the job? TRUE by default to avoid clogged servers
cols_to_keep

Columns to return in output sf object
segments

logical, return segments TRUE/FALSE/"both"

Details

See https://www.cyclestreets.net/journey/batch/ for web UI.

Recommneded max batch size: 300k routes

Examples

if(FALSE) {
library(sf)
desire_lines = od::od_to_sf(od::od_data_df, od::od_data_zones)[4:5, 1:3]
u = paste0("https://github.com/cyclestreets/cyclestreets-r/",
  "releases/download/v0.5.3/od-longford-10-test.Rds")
desire_lines = readRDS(url(u))
routes_id = batch(desire_lines, username = "robinlovelace", wait = FALSE)
# Wait for some time, around a minute or 2
routes_wait = batch(id = routes_id, username = "robinlovelace", wait = TRUE, delete_job = FALSE)
names(routes_wait)
plot(routes_wait)
plot(desire_lines$geometry[4])
plot(routes_wait$geometry[routes_wait$route_number == "4"], add = TRUE)
head(routes_wait$route_number)
unique(routes_wait$route_number)
# Job is deleted after this command:
routes_attrib = batch(desire_lines, id = routes_id, username = "robinlovelace", wait = TRUE)
names(routes_attrib)
unique(routes_attrib$route_number)
desire_lines_huge = desire_lines[sample(nrow(desire_lines), 250000, replace = TRUE), ]
routes_id = batch(desire_lines_huge, username = "robinlovelace", wait = FALSE)
names(routes)
plot(routes$geometry)
plot(desire_lines$geometry, add = TRUE, col = "red")
routes = batch(desire_lines, username = "robinlovelace", wait_time = 5)
# profvis::profvis(batch_read("test-data.csv.gz"))
}

Batch routing for multiple plans and large datasets

Description

Batch routing for multiple plans and large datasets

Usage

batch_multi(
  desire_lines,
  plans = c("fastest", "balanced"),
  nrow_batch = 10000,
  temp_folder = tempdir(),
  batch_ids = NULL,
  ...
)

Arguments

desire_lines

Input desire lines
plans

Plans, e.g. fastest
nrow_batch

How many rows per batch?
temp_folder

path to folder
batch_ids

NULL?
...

Arguments passed to batch

Value

A list of routes.

Examples

if(FALSE) {
od_df = readr::read_csv("https://github.com/nptscot/npt/raw/main/data-raw/od_subset.csv")
zones = sf::read_sf("https://github.com/nptscot/npt/raw/main/data-raw/zones_edinburgh.geojson")
desire_lines = od::od_to_sf(od_df, zones)
desire_lines = desire_lines[1:100, ]
p = c("fastest", "quietest")
routes_multi = batch_multi(desire_lines, plans = p, nrow_batch = 26, delete_job = FALSE)
names(routes_multi)
plot(routes_multi$fastest$geometry)
plot(routes_multi$quietest$geometry)
ids = list(
  fastest = 4059:(4059+3),
  quietest = 4063:(4063+3)
)
r_ids = batch_multi(desire_lines, plans = p, nrow_batch = 26, delete_job = FALSE, batch_ids = ids)
}

Prices of 50,000 round cut diamonds.

Description

Variables provided by CycleStreets in their journey data

Usage

cyclestreets_column_names

Format

An object of class character of length 44.

Source

https://www.cyclestreets.net/

Plan a journey with CycleStreets.net

Description

R interface to the CycleStreets.net journey planning API, a route planner made by cyclists for cyclists. See cyclestreets.net/api for details.

Usage

journey(
  from,
  to,
  plan = "fastest",
  silent = TRUE,
  pat = NULL,
  base_url = "https://www.cyclestreets.net",
  reporterrors = TRUE,
  save_raw = "FALSE",
  ...
)

Arguments

from

Longitude/Latitude pair, e.g. c(-1.55, 53.80)
to

Longitude/Latitude pair, e.g. c(-1.55, 53.80)
plan

Text strong of either "fastest" (default), "quietest" or "balanced"
silent

Logical (default is FALSE). TRUE hides request sent.
pat

The API key used. By default this uses Sys.getenv("CYCLESTREETS").
base_url

The base url from which to construct API requests (with default set to main server)
reporterrors

Boolean value (TRUE/FALSE) indicating if cyclestreets (TRUE by default). should report errors (FALSE by default).
save_raw

Boolean value which returns raw list from the json if TRUE (FALSE by default).
...

Arguments passed to json2sf_cs

Details

Requires the internet and a CycleStreets.net API key. CycleStreets.net does not yet work worldwide.

You need to have an api key for this code to run. By default it uses the CYCLESTREETS environment variable. A quick way to set this is to install the usethis package and then executing the following command:

usethis::edit_r_environ()

That should open up a new file in your text editor where you can add the environment variable as follows (replace 1a... with your key for this to work):

CYCLESTREETS=1a43ed677e5e6fe9

After setting the environment variable, as outlined above, you need to restart your R session before the journey function will work.

See www.cyclestreets.net/help/journey/howitworks/ for details on how these are calculated.

CycleStreets can give you lots of info at route and segment level. Commonly useful columns include: 

cols = c("name", "provisionName", "time", "quietness", "edition", "gradient_smooth")

See json2sf_cs() for details.

See Also

json2sf_cs

Examples

## Not run: 
from = c(-1.55, 53.80) # geo_code("leeds")
to = c(-1.76, 53.80) # geo_code("bradford uk")
r1 = journey(from, to)
names(r1)
cols = c("name", "provisionName", "distances", "time", "quietness", "edition", "gradient_smooth")
r2 = journey(from, to, cols_to_keep = cols)
names(r2)
r2
r1[1:2, ]
r1$grammesCO2saved
r1$calories
plot(r1[1:4])
plot(r1[10:ncol(r1)])
to = c(-2, 53.5) # towards Manchester
r1 = journey(from, to)
names(r1)
r2 = journey(from, to, plan = "balanced")
plot(r1["quietness"], reset = FALSE)
plot(r2["quietness"], add = TRUE)
r3 = journey(from, to, silent = FALSE)
r4 = journey(from, to, save_raw = TRUE)
r5 = journey(c(-1.524, 53.819), c(-1.556, 53.806))
plot(r5["gradient_segment"])
plot(r5["gradient_smooth"])

u = paste0("https://github.com/cyclestreets/cyclestreets-r/",
  "releases/download/v0.4.0/line_with_single_segment.geojson")
desire_line = sf::read_sf(u)
r = stplanr::route(l = desire_line, route_fun = journey)
r

## End(Not run)

Plan a journey with CycleStreets.net

Description

R interface to the CycleStreets.net journey planning API, a route planner made by cyclists for cyclists. See cyclestreets.net/api for details.

Usage

journey2(
  fromPlace = NA,
  toPlace = NA,
  id = NULL,
  plan = "fastest",
  pat = NULL,
  base_url = "https://www.cyclestreets.net",
  host_con = 1,
  reporterrors = TRUE,
  segments = FALSE
)

Arguments

fromPlace

sf points, matrix, or vector of lng/lat coordinates
toPlace

sf points, matrix, or vector of lng/lat coordinates
id

a character ID value to be attached to the results
plan

Text strong of either "fastest" (default), "quietest" or "balanced"
pat

The API key used. By default this uses Sys.getenv("CYCLESTREETS").
base_url

The base url from which to construct API requests (with default set to main server)
host_con

number of threads to use passed to curl::new_pool
reporterrors

Boolean value (TRUE/FALSE) indicating if cyclestreets (TRUE by default). should report errors (FALSE by default).
segments

Logical, if true route segments returned otherwise whole routes

Details

Requires the internet and a CycleStreets.net API key. CycleStreets.net does not yet work worldwide.

You need to have an api key for this code to run. By default it uses the CYCLESTREETS environment variable. A quick way to set this is to install the usethis package and then executing the following command:

usethis::edit_r_environ()

That should open up a new file in your text editor where you can add the environment variable as follows (replace 1a... with your key for this to work):

CYCLESTREETS=1a43ed677e5e6fe9

After setting the environment variable, as outlined above, you need to restart your R session before the journey function will work.

See www.cyclestreets.net/help/journey/howitworks/ for details on how these are calculated.

See Also

json2sf_cs

Examples

## Not run: 
from = c(-1.55, 53.80) # geo_code("leeds")
to = c(-1.76, 53.80) # geo_code("bradford uk")
r1 = journey(from, to)
r2 = journey2(from, to, segments = TRUE)
# waldo::compare(r1, r2) # see differences
sum(sf::st_length(r1))
sum(sf::st_length(r2))
# waldo::compare(sum(sf::st_length(r1)), sum(sf::st_length(r2)))
# waldo::compare(names(r1), names(r2))
# waldo::compare(r1[1, ], r2[1, ])
r1[1:2, ]
r2[1:2, ]
r1$grammesCO2saved
r1$calories

## End(Not run)

Quickly convert output from CycleStreets.net into sf object

Description

Available fields from CycleStreets include:

Usage

json2sf_cs(
  results_raw,
  id = 1,
  segments = TRUE,
  route_variables = c("start", "finish", "start_longitude", "start_latitude",
    "finish_longitude", "finish_latitude", "crow_fly_distance", "event", "whence",
    "speed", "itinerary", "plan", "note", "length", "west", "south", "east", "north",
    "leaving", "arriving", "grammesCO2saved", "calories", "edition"),
  cols_to_keep = c("id", "time", "busynance", "quietness", "signalledJunctions",
    "signalledCrossings", "name", "walk", "elevations", "distances", "type", "legNumber",
    "distance", "turn", "startBearing", "color", "provisionName", "start", "finish",
    "start_longitude", "start_latitude", "finish_longitude", "finish_latitude",
    "crow_fly_distance", "event", "whence", "speed", "itinerary", "plan", "note",
    "length", "west", "south", "east", "north", "leaving", "arriving", "grammesCO2saved",
    "calories", "edition", "gradient_segment", 
     "elevation_change",
    "gradient_smooth")
)

Arguments

results_raw

Raw result from CycleStreets.net read-in with readLines or similar
id

id of the result
segments

Return segment level data? TRUE by default.
route_variables

Route level variables
cols_to_keep

Columns to return in output sf object

Details

c("id", "time", "busynance", "quietness", "signalledJunctions",
  "signalledCrossings", "name", "walk", "elevations", "distances",
  "type", "legNumber", "distance", "turn", "startBearing", "color",
  "provisionName", "start", "finish", "start_longitude", "start_latitude",
  "finish_longitude", "finish_latitude", "crow_fly_distance", "event",
  "whence", "speed", "itinerary", "plan", "note", "length", "west",
  "south", "east", "north", "leaving", "arriving", "grammesCO2saved",
  "calories", "edition", "gradient_segment", "elevation_change",
  "gradient_smooth", "geometry")

Examples

from = "Leeds Rail Station"
to = "University of Leeds"
# from_point = tmaptools::geocode_OSM(from)
# to_point = tmaptools::geocode_OSM(to)
from_point = c(-1.54408, 53.79360)
to_point =   c(-1.54802, 53.79618)
# save result from the API call to journey.json
# res_json = journey(from_point, to_point, silent = FALSE, save_raw = TRUE)
# jsonlite::write_json(res_json, "inst/extdata/journey.json")
# f = "inst/extdata/journey.json"
f = system.file(package = "cyclestreets", "extdata/journey.json")
rsf = json2sf_cs(readLines(f), id = 1, segments = TRUE)
names(rsf)
json2sf_cs(readLines(f), id = 1, segments = TRUE, cols_to_keep = "quietness")
# save result from the API call to journey.json
# res_json = journey(from_point, to_point, silent = FALSE, save_raw = TRUE)
# jsonlite::write_json(res_json, "inst/extdata/journey_short.json")
# f = "inst/extdata/journey_short.json"
f = system.file(package = "cyclestreets", "extdata/journey_short.json")
obj = jsonlite::read_json(f, simplifyVector = TRUE)
# Inclusion of "start_longitude" leads to the additional ProvisionName1 colum:
cols = c("name", "distances", "provisionName")
json2sf_cs(readLines(f), id = 1, segments = TRUE, cols_to_keep = cols)

Download data on 'Low Traffic Neighbourhoods' or 'rat runs' from CycleStreets

Description

R interface to the CycleStreets.net LTN. See ltn API docs and an article on the methods for further details: https://www.cyclestreets.org/news/2021/07/25/mapping-ltns/

Usage

ltns(bb, pat = Sys.getenv("CYCLESTREETS"))

Arguments

bb

An sf or 'bounding box' like object
pat

The API key used. By default this uses Sys.getenv("CYCLESTREETS").

Examples

## Not run: 
bb = "0.101131,52.195807,0.170288,52.209719"
ltn_data = ltns(bb)
plot(ltn_data)
bb = stplanr::routes_fast_sf
ltn_data = ltns(bb)
plot(ltn_data)

## End(Not run)

Identify and smooth-out anomalous gradient values

Description

When distance_cutoff and gradient_cutoff thresholds are both broken for route segments, this function treats them as anomalous and sets the offending gradient values to the mean of the n segments closest to (in front of and behind) the offending segment.

Usage

smooth_with_cutoffs(
  gradient_segment,
  elevation_change,
  distances,
  distance_cutoff = 50,
  gradient_cutoff = 0.1,
  n = 3,
  warnNA = FALSE
)

Arguments

gradient_segment

The gradient for each segment from CycleStreets.net
elevation_change

The difference between the maximum and minimum elevations within each segment
distances

The distance of each segment
distance_cutoff

Distance (m) used to identify anomalous gradients
gradient_cutoff

Gradient (%, e.g. 0.1 being 10%) used to identify anomalous gradients
n

The number of segments to use to smooth anomalous gradents.
warnNA

Logical should NA warning be given? The default is 3, meaning segments directly before, after and including the offending segment.

Examples

f = system.file(package = "cyclestreets", "extdata/journey.json")
rsf = json2sf_cs(readLines(f))
rsf$gradient_segment
rsf$elevation_change
rsf$distances
smooth_with_cutoffs(rsf$gradient_segment, rsf$elevation_change, rsf$distances)
smooth_with_cutoffs(rsf$gradient_segment, rsf$elevation_change, rsf$distances, 20, 0.05)
smooth_with_cutoffs(rsf$gradient_segment, rsf$elevation_change, rsf$distances, 200, 0.02)
smooth_with_cutoffs(rsf$gradient_segment, rsf$elevation_change, rsf$distances, 200, 0.02, n = 5)

Download data on 'Ways' with cyclability (quietness) ratings

Description

R interface to the CycleStreets.net LTN. See API docs.

Usage

ways(
  bb,
  pat = Sys.getenv("CYCLESTREETS"),
  base_url = "https://api.cyclestreets.net/v2/mapdata?",
  limit = 400,
  types = "way",
  wayFields =
    "name,ridingSurface,id,cyclableText,quietness,speedMph,speedKmph,pause,color",
  zoom = 16
)

Arguments

bb

An sf or 'bounding box' like object
pat

The API key used. By default this uses Sys.getenv("CYCLESTREETS").
base_url

The base url from which to construct API requests (with default set to main server)
limit

Maximum number of features to return
types

The type of way to get. Default: "way".
wayFields

Which attributes of the ways to return?
zoom

Zoom level

Examples

## Not run: 

u_test = paste0("https://api.cyclestreets.net/v2/mapdata?key=c047ed46f7b50b1x",
  "&limit=400&types=way&wayFields=name,ridingSurface,id,cyclableText,",
  "quietness,speedMph,speedKmph,pause,color&zoom=16&",
  "bbox=-9.160863,38.754642,-9.150128,38.75764")
# ways_test = sf::read_sf(u_test)
bb = "0.101131,52.195807,0.170288,52.209719"
bb = "-9.160863,38.754642,-9.150128,38.75764"
way_data = ways(bb)
plot(way_data)
bb = stplanr::routes_fast_sf
way_data = ways(bb)
plot(way_data)

## End(Not run)