Planetary Computing for Cities’ Analytics
The Urban Data Workshop empowers students to leverage Grasshopper as a tool for cartographical purposes, georeferenced data manipulation, and urban analytics. A core focus of the workshop is the integration of Google Earth Engine’s extensive satellite imagery datasets to explore ecological, territorial, and urban dynamics at scale. Google Earth Engine (GEE) is a cloud-based platform that provides access to a vast repository of planetary-scale geospatial datasets. It hosts petabytes of satellite imagery data related to climate, land cover changes, and environmental indices, permitting an unprecedented study of the globe. Students will learn how to query, process, and integrate these datasets directly into Grasshopper, enabling sophisticated analyses and urban mapping via custom Python components. Additionally, the course introduces Decoding Spaces, a powerful Grasshopper plugin that facilitates advanced network studies and the importing of external datasets for enriched analysis. The combination of these tools empowers students to address complex urban challenges with data-driven insights and compelling visualizations. By the end of the course, students will have developed practical skills to expand Grasshopper’s potential, bridging design, data, and geography for impactful urban analytics and visualization.
At course completion the student will:
Throughout the course of Urban Data, we learnt several different ways of handling multiple datasets to finally form a dashboard for the same. In this exercise, we worked using VS Code to create a Dashboard for the comparison of Barcelona’s available rental or buyout housing like what idealista does but the also have it depended … Read more
As part of the Urban Data course, the main goal was to create an interactive dashboard in Python to visualize multiple dataframes. We wrote a proper Python file and ran it locally with VS Code. US Fast Food Restaurant Dashboard combines a population dataset and a US fast food restaurants dataset. Several visualization methods have … Read more
Context This dashboard explores how real‑time tweets about disasters can be read against a global catalogue of events such as droughts, earthquakes, and eruptions between 2010 and 2025. By combining these two layers, the project asks how public, noisy, bottom‑up signals might complement slower institutional data in climate‑driven risk scenarios Framing the question Over the … Read more
Coral reefs are not just ecosystems — they are living, breathing cities built by millions of tiny architects working in harmony. Found in warm, clear waters from the Maldives to the Caribbean, these underwater kingdoms shelter a quarter of all marine life, despite covering less than 1% of the ocean floor. From fringing reefs that … Read more
Pollinators, bees, butterflies, moths, bumblebees, quietly keep our ecosystems alive. They enable flowering plants to reproduce, sustain wild biodiversity, and support much of our food supply. Yet many of these species are in decline worldwide, threatened by habitat loss, chemical use, urban sprawl and climate change. In cities like Barcelona, where green spaces, gardens, parks … Read more
