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js_walkability

https://github.com/csebastiao/js_walkability

Science Score: 44.0%

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
  • ○
    Academic publication links
  • ○
    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: csebastiao
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 19 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Walkability Analysis, JUST STREETS

Ruff code style: prettier pre-commit

This is the source code for the Walkability Analysis for Just Streets, WP 3.1 by Clément Sebastiao and Michael Szell. The code conducts a GIS analysis using public data from OpenStreetMap, focusing on walkability and accessibility for older adults.

PROJECTNAME

Installation

First clone the repository:

git clone https://github.com/csebastiao/walkability_JS

Go to the cloned folder and create a new virtual environment. You can either create a new virtual environment then install the necessary dependencies with pip using the requirements.txt file:

pip install -r requirements.txt

Or create a new environment with the dependencies with conda or mamba using the environment.yml file:

mamba env create -f environment.yml

Then, install the virtual environment's kernel in Jupyter:

mamba activate js_walk ipython kernel install --user --name=js_walk mamba deactivate

You can now run jupyter lab with kernel js_walk (Kernel > Change Kernel > js_walk).

Repository structure

├── data │ ├── processed <- Modified data │ └── raw <- Original, immutable data ├── notebooks <- Jupyter notebooks ├── plots <- Generated figures ├── scripts <- Scripts to execute ├── .gitignore <- Files and folders ignored by git ├── .pre-commit-config.yaml <- Pre-commit hooks used ├── CITATION.cff <- Citation file (template) ├── README.md ├── environment.yml <- Environment file to set up the environment using conda/mamba └── requirements.txt <- Requirements file to set up the environment using pip

Credits

Development of Just Streets was supported by the European Union Grant Agreement ID: 101104240

Owner

  • Login: csebastiao
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this source code, please cite it as below."
authors:
- family-names: "AUTHOR1"
  given-names: "AUTHOR1GIVEN"
  orcid: "https://orcid.org/0000-0000-0000-0000"
- family-names: "AUTHOR2"
  given-names: "AUTHOR2GIVEN"
  orcid: "https://orcid.org/0000-0000-0000-0000"
- family-names: "AUTHOR3"
  given-names: "AUTHOR3GIVEN"
  orcid: "https://orcid.org/0000-0000-0000-0000"
title: "PROJECTNAME"
version: 1.0.0
doi: 10.5281/zenodo.0000
date-released: YYYY-MM-DD
url: "URL"
preferred-citation:
  type: article
  authors:
  - family-names: "AUTHOR1"
  given-names: "AUTHOR1GIVEN"
  orcid: "https://orcid.org/0000-0000-0000-0000"
- family-names: "AUTHOR2"
  given-names: "AUTHOR2GIVEN"
  orcid: "https://orcid.org/0000-0000-0000-0000"
- family-names: "AUTHOR3"
  given-names: "AUTHOR3GIVEN"
  orcid: "https://orcid.org/0000-0000-0000-0000"
  doi: "10.0000/00000"
  journal: "JOURNAL"
  month: 1
  start: 1
  end: 2
  title: "PROJECTNAME"
  issue: 1
  volume: 1
  year: YYYY

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Dependencies

requirements.txt pypi
  • geopandas *
  • jupyter *
  • osmnx *
  • pandana *
  • pre-commit *
  • pytest *
  • seaborn *
environment.yml pypi