Geopandas Plotly Express Naples

This repository contains a GIS project for Naples, Italy, showcasing geospatial analysis using Geopandas, Matplotlib, Contextily, and Plotly Express.

The spatial datasets used in this project were originally downloaded from Overpass Turbo (https://overpass-turbo.eu/). The area was zoomed to the metropolitan area of Naples and two queries were run using the keywords tourism=hotel and leisure=park to obtain Hotels.geojson and Parks.geojson.

These files were subsequently refined in ArcGIS Pro: For hotels, only those located within the administrative boundaries of the City of Naples and with a recorded name in the attribute table were retained (saved as the shapefile Naples_Hotels_32633 in the Naples_geopandas folder). For parks, only polygons with an area greater than or equal to 0.8 hectares were selected (saved as the shapefile Naples_Parks_32633 in the Naples_geopandas folder).

⚠️ Disclaimer: This analysis is intended solely as an example of the capabilities of Python geospatial libraries such as Geopandas, Matplotlib, Contextily, and Plotly Express. It does not represent a complete or official inventory of all hotels and green areas in Naples.

The project includes:

• A point shapefile of the main hotels in Naples.
• A polygon shapefile of the main urban parks in Naples.
• Map 1: a basic map showing all hotels and parks.
• Map 2: a 150-meter buffer around parks, visualizing all hotels in relation to this buffer.
• Map 3: the intersection showing “suitable hotels” (5 hotels in total) located within 150 meters of a park, ideal for visitors seeking accommodation close to green urban areas.
• Three Python scripts to generate these maps.
• Hotels.geojson
• Parks.geojson
• All geospatial datasets and generated map images.

Contents

• geopandas-plotly-express-naples.py – Basic map of Naples with parks and hotels
• geopandas-plotly-express-naples-buffer.py – Map showing 150m buffer around parks and hotels
• geopandas-plotly-express-naples-intersected-hotels.py – Map of hotels within 150m of parks
• Naples_geopandas/ – Folder containing .shp files and the ArcGIS project .aprx
• screenshots/ – Folder containing map images: map 1.png, map 2.png, map 3.png

Map Examples

Map 1: Parks and Hotels in Naples

Map 2: 150m Buffer Analysis

Map 3: Suitable Hotels (within 150 m from Parks)

Dependencies

This project uses the following Python libraries:

• geopandas
• matplotlib
• contextily
• plotly-express

How to Run the Scripts

1. Make sure all the shapefiles are in the Naples_geopandas folder.
2. Place the screenshots folder in the same repository if you want to view the generated maps.
3. Run the scripts in this order:

python geopandas-plotly-express-naples.py
python geopandas-plotly-express-naples-buffer.py
python geopandas-plotly-express-naples-intersected-hotels.py