This article provides a step-by-step explanation of how to create hexagonal maps in Python using the H3 and Plotly libraries. It discusses the advantages of using hexagons for data visualization across a territory and uses a dataset of hotels in Barcelona to demonstrate the process. The article covers data cleaning, hexagon grid generation, hotel assignment to hexagons, data grouping, and the final visualization using Plotly.
Table of contents
Constructing Hexagon Maps with H3 and Plotly: A Comprehensive TutorialAnalysis Data: Barcelona City Hotel DatasetData Reading and CleaningHexagon Grid Generation Using H3Assignment of Each Hotel to Its Respective HexagonData Grouping Based on the Variables to Be VisualizedData Visualization: Cartographic Representation of Hotels in Barcelona Using HexagonsSummary25 Impressions