Skip to main content

Multiple functions, tools, and tutorials for calculating urbanization based on gridded population data

Project description

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:

pip install GOSTurban

From Source

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

    git clone https://github.com/worldbank/GOSTurban.git
    cd GOSTurbang
    
  2. Create a virtual environment (optional but recommended):

    python3 -m venv venv
    source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
    
  3. Install the package with dependencies:

    pip install .
    

    Install the package in editable mode with dependencies:

    pip install -e .
    

    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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gosturban-0.1.0rc1.tar.gz (18.6 MB view details)

Uploaded Source

Built Distribution

gosturban-0.1.0rc1-py3-none-any.whl (20.5 kB view details)

Uploaded Python 3

File details

Details for the file gosturban-0.1.0rc1.tar.gz.

File metadata

  • Download URL: gosturban-0.1.0rc1.tar.gz
  • Upload date:
  • Size: 18.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for gosturban-0.1.0rc1.tar.gz
Algorithm Hash digest
SHA256 c1daccfec3b9e4e874124adc27d84d19cec60b333bc4083a1b5c692221fcdbea
MD5 9dd918a9bfbae3417e8f69c485bdd197
BLAKE2b-256 a21064816ff8651186192ce73040c1939f34808f0f36ae1210eb420aea06c4d9

See more details on using hashes here.

File details

Details for the file gosturban-0.1.0rc1-py3-none-any.whl.

File metadata

  • Download URL: gosturban-0.1.0rc1-py3-none-any.whl
  • Upload date:
  • Size: 20.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for gosturban-0.1.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 0b189177daa51cea5b99dfb2c8276f785b6d88065d6ee25f54b9f8030963ab56
MD5 33dd311e89a31733ffd013fefbe0bdd9
BLAKE2b-256 bb1e047f393bd2f70db25b22f5001241fc21def713ac472fbf79ed8477b002b2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page