osrm

osrm: Interface Between R and the OpenStreetMap-Based Routing Service OSRM - Published in JOSS (2022)

https://github.com/riatelab/osrm

Keywords

cran openstreetmap osrm r r-package shortest-paths travel

Keywords from Contributors

cartography thematic-maps

Last synced: 4 months ago · JSON representation ·

Repository

Interface between R and the OpenStreetMap-based routing service OSRM

Basic Info

Host: GitHub
Owner: riatelab
License: gpl-3.0
Language: R
Default Branch: master
Homepage: https://doi.org/10.21105/joss.04574
Size: 21.2 MB

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Topics

cran openstreetmap osrm r r-package shortest-paths travel

Created over 10 years ago · Last pushed 8 months ago

Metadata Files

Readme Changelog Contributing License Citation Codemeta

README.Rmd

---
output: github_document
---

# osrm   

[![CRAN](https://www.r-pkg.org/badges/version/osrm)](https://cran.r-project.org/package=osrm)
[![downloads](https://cranlogs.r-pkg.org/badges/osrm?color=brightgreen)](https://cran.r-project.org/package=osrm)
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[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
[![DOI](https://joss.theoj.org/papers/10.21105/joss.04574/status.svg)](https://doi.org/10.21105/joss.04574)


***Interface Between R and the OpenStreetMap-Based Routing Service [OSRM](http://project-osrm.org/)***

![](https://raw.githubusercontent.com/riatelab/osrm/master/img/cover.png)

## Description
OSRM is a routing service based on OpenStreetMap data. See  for more information. This package enables the computation of routes, trips, isochrones and travel distances matrices (travel time and kilometric distance).

This package relies on the usage of a running OSRM service (tested with v6.0.0 of OSRM).    

You can run your own instance of OSRM following guidelines provided [here](https://github.com/Project-OSRM/osrm-backend). The simplest solution is probably the one based on [docker containers](https://github.com/Project-OSRM/osrm-backend#using-docker).    



:warning: **You must be careful using the OSRM demo server and read the [*about* page](https://routing.openstreetmap.de/about.html) of the service**:    

> [One request per second max. No scraping, no heavy usage.](https://routing.openstreetmap.de/about.html)


## Features

- `osrmTable()` uses the *table* service to query time/distance matrices,
- `osrmRoute()` uses the *route* service to query routes,
- `osrmTrip()` uses the *trip* service to query trips,
- `osrmNearest()` uses the *nearest* service to query the nearest point on the street network, 
- `osrmIsochrone()` and `osrmIsodistance()` use multiple `osrmTable()` calls to create isochrones or isodistances polygons.

## Demo

This is a short overview of the main features of `osrm`. The dataset used here is shipped with the package, it is a sample of 100 random pharmacies in Berlin ([© OpenStreetMap contributors](https://www.openstreetmap.org/copyright/en)) stored in a [geopackage](https://www.geopackage.org/) file.  

* `osrmTable()` gives access to the *table* OSRM service. In this example we use this function to get the median time needed to access any pharmacy from any other pharmacy.   

``` r
library(osrm)
```

    ## Data: (c) OpenStreetMap contributors, ODbL 1.0 - http://www.openstreetmap.org/copyright

    ## Routing: OSRM - http://project-osrm.org/


``` r
library(sf)
```

    ## Linking to GEOS 3.9.0, GDAL 3.2.2, PROJ 7.2.1; sf_use_s2() is TRUE

``` r
pharmacy <- st_read(system.file("gpkg/apotheke.gpkg", package = "osrm"), 
                    quiet = TRUE)
travel_time <- osrmTable(loc = pharmacy)
travel_time$durations[1:5,1:5]
```

    ##      1    2    3    4    5
    ## 1  0.0 21.1 33.4 21.2 12.6
    ## 2 22.1  0.0 42.3 16.1 20.2
    ## 3 33.0 43.0  0.0 30.5 27.4
    ## 4 20.1 15.3 29.7  0.0 12.7
    ## 5 10.2 20.3 26.8 12.3  0.0

``` r
diag(travel_time$durations) <- NA
median(travel_time$durations, na.rm = TRUE)
```

    ## [1] 21.4

The median time needed to access any pharmacy from any other pharmacy is 21.4 minutes. 


* `osrmRoute()` is used to compute the shortest route between two points. Here we compute the shortest route between the two first pharmacies. 

``` r
(route <- osrmRoute(src = pharmacy[1, ], dst = pharmacy[2, ]))
```

    ## Simple feature collection with 1 feature and 4 fields
    ## Geometry type: LINESTRING
    ## Dimension:     XY
    ## Bounding box:  xmin: -13170.51 ymin: 5837172 xmax: -3875.771 ymax: 5841047
    ## Projected CRS: WGS 84 / UTM zone 34N
    ##     src dst duration distance                       geometry
    ## 1_2   1   2 21.11667   12.348 LINESTRING (-13170.51 58410...

This route is 12.3 kilometers long and it takes 21.1 minutes to drive through it. 

``` r
plot(st_geometry(route))
plot(st_geometry(pharmacy[1:2,]), pch = 20, add = T, cex = 1.5)
```

![](route.png)


* `osrmTrip()` can be used to resolve the travelling salesman problem, it gives the shortest trip between a set of unordered points. In this example we want to obtain the shortest trip between the first five pharmacies. 

``` r
(trips <- osrmTrip(loc = pharmacy[1:5, ], overview = "full"))
```

    ## [[1]]
    ## [[1]]$trip
    ## Simple feature collection with 5 features and 4 fields
    ## Geometry type: LINESTRING
    ## Dimension:     XY
    ## Bounding box:  xmin: -13431.24 ymin: 5837172 xmax: -3875.582 ymax: 5856332
    ## Projected CRS: WGS 84 / UTM zone 34N
    ##   start end duration distance                       geometry
    ## 1     1   2 21.11667  12.3480 LINESTRING (-13170.77 58410...
    ## 2     2   4 16.10833   8.4273 LINESTRING (-3875.582 58379...
    ## 3     4   3 29.69000  18.1448 LINESTRING (-7444.513 58427...
    ## 4     3   5 27.39833  16.4265 LINESTRING (-8027.41 585621...
    ## 5     5   1 10.15333   4.2289 LINESTRING (-11716.36 58435...
    ## 
    ## [[1]]$summary
    ## [[1]]$summary$duration
    ## [1] 104.4667
    ## 
    ## [[1]]$summary$distance
    ## [1] 59.5755

The shortest trip between these pharmacies takes 104.5 minutes and is 59.6 kilometers long. The steps of the trip are described in the "trip" sf object (point 1 > point 2 > point 4 > point 3 > point 5 > point 1).

``` r
mytrip <- trips[[1]]$trip
# Display the trip
plot(st_geometry(mytrip), col = c("black", "grey"), lwd = 2)
plot(st_geometry(pharmacy[1:5, ]), cex = 1.5, pch = 21, add = TRUE)
text(st_coordinates(pharmacy[1:5,]), labels = row.names(pharmacy[1:5,]), 
     pos = 2)
```

![](trip.png)

* `osrmNearest()` gives access to the *nearest* OSRM service. It returns the nearest point on the street network from any point. Here we will get the nearest point on the network from a couple of coordinates. 

``` r
pt_not_on_street_network <- c(13.40, 52.47)
(pt_on_street_network <- osrmNearest(loc = pt_not_on_street_network))
```

    ## Simple feature collection with 1 feature and 2 fields
    ## Geometry type: POINT
    ## Dimension:     XY
    ## Bounding box:  xmin: 13.39671 ymin: 52.46661 xmax: 13.39671 ymax: 52.46661
    ## Geodetic CRS:  WGS 84
    ##      id distance                  geometry
    ## loc loc      439 POINT (13.39671 52.46661)

The distance from the input point to the nearest point on the street network is of 439 meters

* `osrmIsochrone()` computes areas that are reachable within a given time span from a point and returns the reachable regions as polygons. These areas of equal travel time are called isochrones. Here we compute the isochrones from a specific point defined by its longitude and latitude. 

``` r
(iso <- osrmIsochrone(loc = c(13.43,52.47), breaks = seq(0,12,2)))
```

    ## Simple feature collection with 5 features and 3 fields
    ## Geometry type: MULTIPOLYGON
    ## Dimension:     XY
    ## Bounding box:  xmin: 13.34397 ymin: 52.41642 xmax: 13.50187 ymax: 52.51548
    ## Geodetic CRS:  WGS 84
    ##   id isomin isomax                       geometry
    ## 1  1      0      4 MULTIPOLYGON (((13.43743 52...
    ## 2  2      4      6 MULTIPOLYGON (((13.42356 52...
    ## 3  3      6      8 MULTIPOLYGON (((13.40345 52...
    ## 4  4      8     10 MULTIPOLYGON (((13.4077 52....
    ## 5  5     10     12 MULTIPOLYGON (((13.42257 52...

``` r
bks <-  sort(unique(c(iso$isomin, iso$isomax)))
pals <- hcl.colors(n = length(bks) - 1, palette = "Light Grays", rev = TRUE)
plot(iso["isomax"], breaks = bks, pal = pals, 
     main = "Isochrones (in minutes)", reset = FALSE)
points(x = 13.43, y = 52.47, pch = 4, lwd = 2, cex = 1.5)
```

![](iso.png)


## Installation

* Development version on GitHub
```{r, eval = FALSE}
remotes::install_github("riatelab/osrm")
```

* Stable version on [CRAN](https://CRAN.R-project.org/package=osrm/)
```{r, eval=FALSE}
install.packages("osrm")
```

## Community Guidelines

One can contribute to the package through [pull requests](https://github.com/riatelab/osrm/pulls) and report issues or ask questions [here](https://github.com/riatelab/osrm/issues). See the [CONTRIBUTING.md](https://github.com/riatelab/osrm/blob/master/CONTRIBUTING.md) file for detailed instructions. 


## Acknowledgements

Many thanks to the editor (@elbeejay) and reviewers (@JosiahParry, @mikemahoney218 and @wcjochem) of the JOSS article.    
This publication has led to a significant improvement in the code base and documentation of the package.

Owner

Name: riatelab
Login: riatelab
Kind: organization
Location: Paris

Website: https://riate.cnrs.fr
Repositories: 49
Profile: https://github.com/riatelab

Spatial analysis and mapping software packages created by the Center for Spatial Analysis and Geovisualization - RIATE

JOSS Publication

osrm: Interface Between R and the OpenStreetMap-Based Routing Service OSRM

Published

October 27, 2022

DOI

10.21105/joss.04574

Volume 7, Issue 78, Page 4574

Authors

Timothée Giraud

Centre National de la Recherche Scientifique, France

Editor

Jayaram Hariharan

Citation (CITATION.cff)

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Past Year

Commits: 3
Committers: 2
Avg Commits per committer: 1.5
Development Distribution Score (DDS): 0.333

Top Committers

Name	Email	Commits
rCarto	t**d@c**r	204
rCarto	t**d@u**r	85
rCarto	t**d@c**r	21
pasipasi123	p**a@g**m	7
Marco Bascietto	m**o@g**m	6
Robin Lovelace	r**x@g**m	3
metanoid	n**k@g**m	2
Robin Cura	r**a@g**m	2
Matthieu Viry	m****h	1
Daniel Kirsch	d**l@g**m	1

Committer Domains (Top 20 + Academic)

cnrs.fr: 2 ums-riate.fr: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 105
Total pull requests: 10
Average time to close issues: 28 days
Average time to close pull requests: 7 days
Total issue authors: 70
Total pull request authors: 7
Average comments per issue: 2.48
Average comments per pull request: 1.6
Merged pull requests: 7
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 4
Pull requests: 1
Average time to close issues: 3 days
Average time to close pull requests: about 1 hour
Issue authors: 4
Pull request authors: 1
Average comments per issue: 1.25
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

JosiahParry (16)
rCarto (8)
wcjochem (5)
obhakim (2)
floswald (2)
Robinlovelace (2)
Linalalina (2)
e-kotov (2)
jiaweniscute (2)
tra6sdc (2)
UNFPAmaldives (2)
mikemahoney218 (2)
jnwadiuko (1)
Stephonomon (1)
duleise (1)

Pull Request Authors

rCarto (3)
mthh (2)
Moohan (2)
Robinlovelace (2)
pasipasi123 (1)
mbask (1)
neon-ninja (1)

Top Labels

Issue Labels

bug (3) feature request (3) help wanted (2) enhancement (1)

Pull Request Labels

Packages

Total packages: 2
Total downloads:
- cran 1,762 last-month
Total docker downloads: 1,484

Total dependent packages: 2
(may contain duplicates)
Total dependent repositories: 10
(may contain duplicates)
Total versions: 34
Total maintainers: 1

proxy.golang.org: github.com/riatelab/osrm

Documentation: https://pkg.go.dev/github.com/riatelab/osrm#section-documentation
License: gpl-3.0
Latest release: v4.2.0+incompatible
published over 1 year ago

Versions: 14
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 5.4%

Average: 5.6%

Dependent repos count: 5.8%

Last synced: 4 months ago

cran.r-project.org: osrm

Interface Between R and the OpenStreetMap-Based Routing Service OSRM

Homepage: https://github.com/riatelab/osrm
Documentation: http://cran.r-project.org/web/packages/osrm/osrm.pdf
License: GPL (≥ 3)
Latest release: 4.2.0
published over 1 year ago

Versions: 20
Dependent Packages: 2
Dependent Repositories: 10
Downloads: 1,762 Last month
Docker Downloads: 1,484

Rankings

Stargazers count: 1.9%

Forks count: 2.7%

Downloads: 4.2%

Average: 7.9%

Dependent repos count: 9.2%

Dependent packages count: 13.6%

Docker downloads count: 16.0%

Maintainers (1)

timothee.giraud@cnrs.fr

Last synced: 4 months ago

osrm

Science Score: 100.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.Rmd

Owner

JOSS Publication

osrm: Interface Between R and the OpenStreetMap-Based Routing Service OSRM

Authors

Editor

Tags

Citation (CITATION.cff)

CodeMeta (codemeta.json)

Papers & Mentions

Improving geographical accessibility modeling for operational use by local health actors

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

proxy.golang.org: github.com/riatelab/osrm

Rankings

cran.r-project.org: osrm

Rankings

Maintainers (1)

Dependencies