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 reply on traditional soil or urbanistic studies to identify flood-prone areas, but also used the information from Spain's National Cadastral to gather the data, city by city and street by street, of all the buildings constructed in vulnerable or hazardous zones. We will share the model that can be replicable and/or scalable to other European countries, particularly those in the Mediterranean region. Through this session, 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 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 (on Mac, this is not necessary).
