3D Visualisation of Earthquake-Damaged Buildings in La Guaira, Venezuela

This project presents an interactive 3D visualisation of building-damage assessment data along the coastal front of La Guaira, Venezuela, formerly known as Vargas State, following the 2026 earthquake.

The work focused on specific affected urban areas along the coastline, including Catia La Mar, Caraballeda and La Guaira. At the time of development, these were the only publicly available building-level damage datasets I could find online, published through the Humanitarian Data Exchange by Microsoft AI for Good Lab.

Using Python in Jupyter Notebook inside VS Code, I processed, cleaned and merged the separate geospatial datasets into one consolidated GeoJSON file. The workflow included inspecting the geometry and attribute tables, removing duplicated records, filtering buildings with high damage values, and preparing the data for publication in ArcGIS Online.

The final result was an interactive 3D web scene showing affected building footprints extruded within their urban and coastal context. The goal was not to create a definitive structural damage assessment, but to make preliminary geospatial information easier to understand visually, especially in relation to the dense urban fabric and vulnerable coastal settlements of La Guaira.



This project was completed as a rapid-response visualisation prototype over two intensive days, using the public data available at that moment. It demonstrates how geospatial data, architectural thinking and 3D visualisation can support spatial understanding during crisis response, while also highlighting the importance of uncertainty, responsible communication and the need for field verification.