In this session, we'll explore the methodology behind Newtral's data-driven investigation of flood-prone buildings and areas in Spain, which allowed the data team to find that at least 200,000 buildings in the country are vulnerable to flooding. The investigation didn't only rely on traditional soil or urban studies to identify flood-prone areas; it also used information from Spain's National Cadastral to gather the data, city by city, street by street, of all the buildings constructed in vulnerable or hazardous zones. We will share a model that can be replicated or scaled elsewhere in Europe, particularly in the Mediterranean region.
Attendees will learn how to source, process, and visualize cartographic data of urban typology to identify threatened areas. This session is suitable for beginners. Attendees should have Python installed, along with a code editor like Visual Studio Code. No coding knowledge is necessary - the code will be shared with you, and you can just follow along. If you use Windows, please install Ubuntu (not necessary for Mac users).
