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gosturban

GOST's combined tools for urban analysis

https://github.com/worldbank/gosturban

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
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.6%) to scientific vocabulary

Keywords

urban-analytics worldbank-gost
Last synced: 6 months ago · JSON representation ·

Repository

GOST's combined tools for urban analysis

Basic Info
Statistics
  • Stars: 13
  • Watchers: 23
  • Forks: 7
  • Open Issues: 12
  • Releases: 2
Topics
urban-analytics worldbank-gost
Created over 5 years ago · Last pushed 6 months ago
Metadata Files
Readme License Code of conduct Citation

README.md

Quantifying urbanization

Urbanization is a foundational aspect of understanding the human condition, and has been a focus of economic, social, and development study for many years. This code repository is meant to centralize many of the urban analytics performed by the World Bank's Global Operational Support Team (GOST) in support of World Bank Group operations. There are numerous code examples in the notebooks folder including both tutorials and records of project implementations.

This repo includes a GitHub Pages and a Wiki for the documentation.

Installation

From PyPI

GOSTurban is available on PyPI and can installed using pip:

shell pip install GOSTurban

From Source

  1. Clone or download this repository to your local machine. Then, navigate to the root directory of the repository:

    shell git clone https://github.com/worldbank/GOSTurban.git cd GOSTurban

  2. Create a virtual environment (optional but recommended):

    shell python3 -m venv venv source venv/bin/activate # On Windows, use `venv\Scripts\activate`

  3. Install the package with dependencies:

    shell pip install .

    Developer Installation

Install the package in editable mode with all of the dependencies needed to run the tests and build the documentation locally:

shell pip install -e .[dev]

The -e flag stands for "editable," meaning changes to the source code will immediately affect the installed package.

License

This project is licensed under the MIT - see the LICENSE file for details.

Owner

  • Name: World Bank Group
  • Login: worldbank
  • Kind: organization
  • Email: github@worldbank.org

World Bank Repository for Data Products and tools. Content does not necessarily represent official World Bank Group positions, policies, recommendations, etc.

Citation (CITATION.cff) 

cff-version: 1.2.0
title: "GOSTurban"
abstract: "Multiple functions, tools, and tutorials for calculating urbanization based on gridded population data"
authors:
  - affiliation: World Bank
    family-names: Stewart
    given-names: Benjamin P.
  - affiliation: World Bank
    family-names: Chamorro
    given-names: Andres
keywords:
  - Urban Analysis
repository-code: https://github.com/worldbank/GOSTurban
type: software

GitHub Events

Total
  • Issues event: 1
  • Watch event: 3
  • Member event: 1
  • Push event: 74
  • Pull request event: 15
  • Create event: 2
Last Year
  • Issues event: 1
  • Watch event: 3
  • Member event: 1
  • Push event: 74
  • Pull request event: 15
  • Create event: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 10
  • Total pull requests: 56
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 20 days
  • Total issue authors: 5
  • Total pull request authors: 7
  • Average comments per issue: 0.8
  • Average comments per pull request: 0.46
  • Merged pull requests: 34
  • Bot issues: 0
  • Bot pull requests: 6
Past Year
  • Issues: 1
  • Pull requests: 16
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 minutes
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 13
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • g4brielvs (4)
  • bpstewar (3)
  • andresfchamorro (1)
  • elbeejay (1)
  • vertragus (1)
Pull Request Authors
  • bpstewar (26)
  • elbeejay (10)
  • g4brielvs (10)
  • pre-commit-ci[bot] (4)
  • dependabot[bot] (3)
  • eigotateishi (3)
  • andresfchamorro (1)
Top Labels
Issue Labels
enhancement (5) bug (2) dependencies (1)
Pull Request Labels
enhancement (8) documentation (6) dependencies (3) wontfix (2)

Dependencies

pyproject.toml pypi
  • elevation *
  • geojson *
  • geopandas *
  • geopy *
  • numpy *
  • pandas *
  • pyproj *
  • rasterio *
  • scipy *
  • shapely *
.github/workflows/gh-pages.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v4 composite
  • peaceiris/actions-gh-pages v3 composite
.github/workflows/release.yml actions
  • actions/checkout v4 composite
  • actions/download-artifact v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v3 composite
  • pypa/gh-action-pypi-publish release/v1 composite
requirements.txt pypi
  • elevation *
  • geojson *
  • geopandas *
  • geopy *
  • git *
  • hatch *
  • numpy *
  • pandas *
  • pyproj *
  • rasterio *
  • scipy *
  • shapely *