Table of Contents
This data visualization project aims to explore and depict the distribution of the Blue Banana and Gold Banana in Europe, incorporating the concept of sea connectography flows. The project utilizes data provided by Eurostat and represents it within NUTS (Nomenclature of Territorial Units for Statistics) regions.
The Blue Banana denotes a chain of highly urbanized and industrialized regions extending from southern England to northern Italy, traversing through Belgium, the Netherlands, Luxembourg, Germany, Switzerland, and France. The Gold Banana encompasses a broader swath of territory, encompassing regions in Spain and Portugal.
I(we) leverage datasets provided by Eurostat, the statistical office of the European Union, offering comprehensive socio-economic and geospatial information about Europe. This data is structured within NUTS regions, facilitating a hierarchical breakdown of territorial units for statistical analysis.
Integration with Sea Connectography Flows:
In addition to examining the socio-economic dynamics within the Blue Banana and Gold Banana, this project incorporates the connectography flows to visualize tge influence on economic activities and regional development, by integrating data.
Exploring Conceptual Questions:
Is Blue Banana a Real Phenomenon?: We delve into the debate surrounding the Blue Banana, examining whether it constitutes a real geographical and economic pentagram, particularly considering the inclusion of metropolitan areas like Berlin and Paris within its framework.
Relation between Blue Banana and Gold Banana: We scrutinize the relationship between the Blue Banana and the Gold Banana, assessing whether the latter can be perceived as an extension of the former, or if they represent distinct socio-economic corridors with unique characteristics
Project Objective:
Our overarching goal is to create an interactive visualization platform that illustrates both, conectivity and phisical, dimensions of the Blue Banana and Gold Banana regions. Through this holistic approach, we seek to uncover patterns of economic development, trade flows, cultural exchanges, political and social patterns and digital spaces complementing our understanding of land-based connectivity.
This section should list any major frameworks/libraries used to bootstrap this project.
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Python installed on your system (Python 3.10.1 recommended).
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Required Python libraries installed:
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This is an example of how to list things you need to use the software and how to install them.
pip install eurostatapiclient or:
conda install eurostatapiclient - API Cofiguration:
from eurostatapiclient import EurostatAPIClient VERSION = '1.0' FORMAT = 'json' LANGUAGE = 'en'
- Clone the repo
git clone https://github.com/OSCGRA/blue-and-gold.git
- Install NPM packages
pip install geopandas pip install geoplot
- Enter the dataset code from Eurostad database: (example: met_gind3)
dataset = client.get_dataset('met_gind3') print(dataset.label) df = dataset.to_dataframe();
This section is under construction, thanks for your understanding.
For more examples, please refer to the Documentation
- Feature 1
- Feature 2
- Feature 3
- Nested Feature
This section is under construction, thanks for your understanding.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the Apache 2.0 License. See LICENSE.txt for more information.
Feel free to reach out to me via email, LinkedIn, or Reddit for any inquiries, contributions to projects, or potential job opportunities:
- Email: [email protected]
- LinkedIn: Oscar Reinoso Estevez
- Reddit: u/posore01
- Attribution of eurostatapiclient: https://github.com/opus-42/eurostat-api-client