rcoins

Identify continuous lines in a network

https://github.com/cityriverspaces/rcoins

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 4 DOI reference(s) in README
✓
Academic publication links
Links to: zenodo.org
○
Academic email domains
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (19.7%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Identify continuous lines in a network

Basic Info

Host: GitHub
Owner: CityRiverSpaces
License: apache-2.0
Language: R
Default Branch: main
Homepage: https://cityriverspaces.github.io/rcoins/
Size: 7.69 MB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 13
Releases: 5

Created over 1 year ago · Last pushed 6 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation Codemeta

rcoins

Identify continuous lines in a network using an approach based on the Continuity in Street Network (COINS) method[^1].

rcoins is a R (re)implementation of the COINS algorithm, which is also available in Python as a module of the momepy library or in its original version: PratyushTripathy/COINS.

Installation

You can install the released version of rcoins from CRAN with:

r install.packages("rcoins")

You can install the development version of rcoins from the R terminal like so:

``` r

install.packages("devtools")

devtools::install_github("CityRiverSpaces/rcoins") ```

Alternative installation using `conda`

An environment including rcoins and all its dependencies can be created using Conda (or its faster implementation Mamba).

Conda can be installed using the Miniforge scripts provided here (download one of the Mambaforge scripts in order to install Mamba as well).

First clone this repository and access it:

shell git clone https://github.com/CityRiverSpaces/rcoins.git cd rcoins/

Run conda (or mamba, if using Mambaforge) to create an environment with all the required dependencies:

shell conda env create -f environment.yml conda activate rcoins

Install the development version of rcoins (include dependencies = TRUE to install the example datasets):

shell Rscript -e 'devtools::install(dependencies = TRUE)'

Example

Given the street network of the city of Bucharest (data source: OpenStreetMap)

r library(rcoins) bucharest <- get_example_data() streets <- bucharest$streets

Plot streets:

Determine continuous lines in the network as:

r continuous_streets <- stroke(streets)

Plot continuous streets:

Contributing

We look very much forward to contributions to the package. See the Contributing Guide for further details.

This package is released with a Contributor Code of Conduct. By contributing to this project you agree to abide by its terms.

Development

When modifying the R source code, load the library as:

r devtools::load_all()

Run tests locally:

r devtools::test()

Run the linter locally:

r lintr::lint_package()

[^1]: Tripathy, P., Rao, P., Balakrishnan, K., & Malladi, T. (2021). An open-source tool to extract natural continuity and hierarchy of urban street networks. Environment and Planning B: Urban Analytics and City Science, 48(8), 2188-2205. DOI: 10.1177/2399808320967680

Owner

Name: CRiSp
Login: CityRiverSpaces
Kind: organization

Repositories: 1
Profile: https://github.com/CityRiverSpaces

City River Spaces

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  rcoins: Identify Naturally Continuous Lines in a Spatial
  Network
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Francesco
    family-names: Nattino
    email: f.nattino@esciencecenter.nl
    affiliation: Netherlands eScience Center
    orcid: 'https://orcid.org/0000-0003-3286-0139'
  - given-names: Claudiu
    family-names: Forgaci
    email: c.forgaci@tudelft.nl
    affiliation: Delft University of Technology
    orcid: 'https://orcid.org/0000-0003-3218-5102'
  - given-names: Fakhereh
    family-names: Alidoost
    email: f.alidoost@esciencecenter.nl
    affiliation: Netherlands eScience Center
    orcid: 'https://orcid.org/0000-0001-8407-6472'
identifiers:
  - type: doi
    value: 10.5281/zenodo.14501804
repository-code: 'https://github.com/CityRiverSpaces/rcoins'
url: 'https://cityriverspaces.github.io/rcoins'
abstract: >-
  Provides functionality to group lines that form naturally
  continuous lines in a spatial network. The algorithm
  implemented is based on the Continuity in Street Networks
  (COINS) method from Tripathy et al. (2021)
  <doi:10.1177/2399808320967680>, which identifies
  continuous "strokes" in the network as the line strings
  that maximize the angles between consecutive segments.
keywords:
  - R
  - COINS
  - network
  - spatial
license: Apache-2.0

CodeMeta (codemeta.json)

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GitHub Events

Total

Create event: 46
Release event: 6
Issues event: 44
Watch event: 2
Delete event: 45
Member event: 2
Issue comment event: 63
Push event: 253
Pull request event: 92
Pull request review comment event: 95
Pull request review event: 94
Fork event: 1

Last Year

Create event: 46
Release event: 6
Issues event: 44
Watch event: 2
Delete event: 45
Member event: 2
Issue comment event: 63
Push event: 253
Pull request event: 92
Pull request review comment event: 95
Pull request review event: 94
Fork event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 11
Total pull requests: 31
Average time to close issues: about 1 month
Average time to close pull requests: 1 day
Total issue authors: 2
Total pull request authors: 3
Average comments per issue: 0.73
Average comments per pull request: 0.26
Merged pull requests: 25
Bot issues: 1
Bot pull requests: 0

Past Year

Issues: 11
Pull requests: 31
Average time to close issues: about 1 month
Average time to close pull requests: 1 day
Issue authors: 2
Pull request authors: 3
Average comments per issue: 0.73
Average comments per pull request: 0.26
Merged pull requests: 25
Bot issues: 1
Bot pull requests: 0

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Top Authors

Issue Authors

fnattino (25)
cforgaci (1)
github-actions[bot] (1)
SarahAlidoost (1)

Pull Request Authors

fnattino (43)
cforgaci (6)
SarahAlidoost (3)
vanlankveldthijs (2)

Top Labels

Issue Labels

Pull Request Labels

bug (2)

Packages

Total packages: 1
Total downloads:
- cran 481 last-month

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 2
Total maintainers: 1

cran.r-project.org: rcoins

Identify Naturally Continuous Lines in a Spatial Network

Homepage: https://cityriverspaces.github.io/rcoins/
Documentation: http://cran.r-project.org/web/packages/rcoins/rcoins.pdf
License: Apache License (≥ 2)
Latest release: 0.4.0
published 6 months ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 481 Last month

Rankings

Dependent packages count: 26.4%

Dependent repos count: 32.5%

Average: 48.5%

Downloads: 86.7%

Maintainers (1)

f.nattino@esciencecenter.nl

Last synced: 6 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions

actions/checkout v4 composite
r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/lint.yaml actions

actions/checkout v4 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/pkgdown.yaml actions

JamesIves/github-pages-deploy-action v4.5.0 composite
actions/checkout v4 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/test-coverage.yaml actions

actions/checkout v4 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

DESCRIPTION cran

testthat >= 3.0.0 suggests

rcoins

Science Score: 67.0%

Repository

Basic Info

Statistics

Metadata Files

README.md

rcoins

Installation

install.packages("devtools")

Alternative installation using conda

Example

Contributing

Development

Owner

Citation (CITATION.cff)

CodeMeta (codemeta.json)

GitHub Events

Total

Last Year

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

cran.r-project.org: rcoins

Rankings

Maintainers (1)

Dependencies

Alternative installation using `conda`