r5r | R package for rapid realistic routing
kandi X-RAY | r5r Summary
kandi X-RAY | r5r Summary
r5r is a R library. r5r has no bugs, it has no vulnerabilities and it has low support. However r5r has a Non-SPDX License. You can download it from GitHub.
r5r is an R package for rapid realistic routing on multimodal transport networks (walk, bike, public transport and car). It provides a simple and friendly interface to R5, the Rapid Realistic Routing on Real-world and Reimagined networks. r5r is a simple way to run R5 locally, what allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing. See a detailed demonstration of r5r in this intro Vignette. Over time, r5r migth be expanded to incorporate other functionalities from R5. This repository contains the R code (r-package folder) and the Java code (java-api folder) that provides the interface to R5. Soon, this could also become a python library.
r5r is an R package for rapid realistic routing on multimodal transport networks (walk, bike, public transport and car). It provides a simple and friendly interface to R5, the Rapid Realistic Routing on Real-world and Reimagined networks. r5r is a simple way to run R5 locally, what allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing. See a detailed demonstration of r5r in this intro Vignette. Over time, r5r migth be expanded to incorporate other functionalities from R5. This repository contains the R code (r-package folder) and the Java code (java-api folder) that provides the interface to R5. Soon, this could also become a python library.
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Quality
Security
License
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Support
r5r has a low active ecosystem.
It has 140 star(s) with 23 fork(s). There are 8 watchers for this library.
It had no major release in the last 12 months.
There are 16 open issues and 248 have been closed. On average issues are closed in 113 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of r5r is v1.0.1
Quality
r5r has 0 bugs and 0 code smells.
Security
r5r has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
r5r code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
r5r has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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r5r releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
r5r saves you 15664 person hours of effort in developing the same functionality from scratch.
It has 2201 lines of code, 138 functions and 17 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed r5r and discovered the below as its top functions. This is intended to give you an instant insight into r5r implemented functionality, and help decide if they suit your requirements.
- Populate the itinerary options table .
- Build the routes table
- Run the graph .
- Set log mode
- Merges the given results into one .
- Build the edges table .
- Creates a Kryo instance with default serializers .
- Test function with the given name and value .
- Save the data to a CSV file
- Populate the travel times table .
Get all kandi verified functions for this library.
r5r Key Features
No Key Features are available at this moment for r5r.
r5r Examples and Code Snippets
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# allocate RAM memory to Java
options(java.parameters = "-Xmx2G")
# 1) build transport network, pointing to the path where OSM and GTFS data are stored
library(r5r)
path <- system.file("extdata/poa", package = "r5r")
r5r_core <- setup_r5(data_
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@article{pereira_r5r_2021,
title = {r5r: Rapid Realistic Routing on Multimodal Transport Networks with {R}$^{\textrm{5}}$ in R},
shorttitle = {r5r},
url = {https://findingspress.org/article/21262-r5r-rapid-realistic-routing-on-multimodal-transport
Copy
# From CRAN
install.packages("r5r")
library(r5r)
# or use the development version with latest features
utils::remove.packages('r5r')
devtools::install_github("ipeaGIT/r5r", subdir = "r-package")
library(r5r)
Community Discussions
No Community Discussions are available at this moment for r5r.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install r5r
To use r5r, you need to have Java SE Development Kit 11 installed on your computer. No worries, you don't have to pay for it. The jdk 11 is freely available from the options below:.
OpenJDK
Oracle
OpenJDK
Oracle
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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