https://github.com/binnette/bookcases-zonelivre

Bookcases from zonelivre
https://github.com/binnette/bookcases-zonelivre

Last synced: 3 months ago
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Bookcases from zonelivre

• Host: GitHub
• URL: https://github.com/binnette/bookcases-zonelivre
• Owner: Binnette
• License: mit
• Created: 2022-09-20T20:33:16.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-03-01T02:23:25.000Z (4 months ago)
• Last Synced: 2025-03-01T03:22:01.409Z (4 months ago)
• Language: Python
• Size: 3.73 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# bookcases-zonelivre

**Data last updated on: 2025-03-01**

Bookcases from zonelivre: https://boite.a.livres.zonelivre.fr/

These bookcases are mainly in France and French-speaking countries. You can display them in OsmAnd, JOSM, uMap, and more.

![Bookcase count history](assets/bookcase_count_history.png)

![Distribution pie](assets/bookcase_distribution_pie_chart.png)

## ⚠️ DO NOT IMPORT INTO OPENSTREETMAP! ⚠️

Do not import directly in OSM. Verify each bookcase in person before adding it to OSM.

## How to Use the Data

Use the data to display bookcases in OsmAnd, JOSM, uMap, and more. Visit them in person and add or update them on OpenStreetMap.

### Using OsmAnd

**Note:** To avoid lag, do not use `bookcases.gpx` file. Instead, use the region-specific GPX files, such as `Bretagne.gpx`.

1. Open the `bookcases` folder for the latest data.

2. Download a region-specific GPX file (e.g., `Bretagne.gpx`).

3. Copy the GPX file to your device.

4. Open OsmAnd.

5. Go to Favorites.

6. Use the **+** (import) button.

7. Select the GPX file.

8. Bookcases are now displayed on the map.



### Using JOSM

1. Open the `bookcases` folder for the latest data.

2. Download the `bookcases.geojson` file.

3. Open JOSM.

4. Use the Open File button.

5. Select the `bookcases.geojson` file.

6. Bookcases are now displayed on the map.

## How to Update the Data

1. Install the necessary Python libraries:

    ```sh

    pip install beautifulsoup4 fake_useragent geojson matplotlib pandas selenium shapely

    ```

2. Run `1_fetch_bookcases.py` to fetch and create `bookcases.geojson`.

3. Run `2_filter_by_region.py` to split the bookcases into GeoJSON files for each French region.

4. Run `3_create_OsmAnd_gpx.py` to convert each GeoJSON file into an OsmAnd GPX file.