Truss and Roof Health

ROBOTIC SOLUTIONS FOR 3D SPACE ANALYSIS AIM This workshop ran in collaboration with Noumena and IAAC where we were introduced to a environmental scanning and data processing workflows which combined the use of photogrammetry and point-cloud data. The site of the study was at IAAC’s new building which is yet to be constructed. From this … Read more

Coltura

Introduction Milan, Northern Italy’s epicenter, confronts economic and environmental challenges rooted in a shift from agriculture to manufacturing. To secure its future, Milan invests in knowledge, tourism, and place-based innovation, relying on revenue from high-income foreigners, students, and the European Union. Strategic efforts to transition to a green economy focus on renewable energy, waste reduction, … Read more

Towards a multi-performative soil

Introduction The contemporary postcard city of Barcelona is supported by a world wide web of hidden urbanization. One of the closest and most prominent hidden pieces of urbanization of Barcelona is found in the Besós Valley. When going on site, we encountered a fragmented urban landscape of logistical infrastructure, urban wasteland, scattered agriculture and haphazard … Read more

AgriScape

Future of Tarragona Refinery The contemporary power station plays a substantial role within the cityscape, serving not only as a primary energy generator but also as a cornerstone in the intricate tapestry of urban planning. What implications might this massive infrastructure have on the future trajectory of the city’s urban development? About the Site The … Read more

Annual and Cumulative Analysis of Pesticide Concentration in Multiple Locations: Understanding Trends and Patterns

Introduction: Understanding the presence and distribution of pollutants like pesticides is crucial. In this blog post, I’ll delve into a Python-based analysis exploring pesticide concentration trends across diverse locations. I’ll use Python’s data analysis libraries to decipher annual trends and gain an overarching understanding of pesticide presence. Interpretation and Conclusion: My Python-based analysis shed light … Read more

Coding Nature

Investigating the Impact of Open Green Spaces on Airbnb Rates with Python 1. Introduction The industry of tourism in Barcelona has seen a major hike in the past couple years. Post-covid Barcelona has also become an educational hub for students from across the globe. The increase in Inflow of people has also made platform urbanism … Read more

Democratized design to combat climate catastrophe.

As we move further into the 21st century, our chances of averting climate change have all but disappeared. Analysis shows that global temperatures now sit 1.1? above pre-industrial levels and are set to rise to 1.5? by the early 2030s (Jotzo and Howden, 2023). This rapid increase in temperatures has led to loss of land … Read more

The CourtForge

Enlarging the great… Emanuel Ginobili is one of the most -if not the most- accomplished Argentinian basketball players. During his 16 season basketball career in the NBA, that went on from 2002 to 2018, he won 4 championships as one of the San Antonio Spurs “Big Three”, was named an All-Star twice, was selected for … Read more

Visualizing GeoSpatial Data in Python – Going from Csv to Graph

Visualizing dataframes using Geopandas and Plotly in Python introduction Python is a versatile and easy-to-learn programming language. GeoPandas extends the data manipulation capabilities of pandas to spatial data, providing a familiar and convenient environment for working with both tabular and geographical data. GeoPandas makes it easy to load, explore, and analyze geographical data. You can … Read more

Navigating GeoPandas and the Digital Wilderness

“Start the machine” …was the first operation in mind when asked to perform a task with Python script. One of the motivations to learn Python as an urban designer is to organize geospatial data with accuracy and legibility. Before we dive into the digital wilderness, of data trees and data frames, it’s important to note … Read more

From Guest to Spatial Data Analyst

Introduction Airbnb is a well know marketplace that connects people who want to rent out their property with people who are looking for accommodations, typically for short stays (Investopedia, 2023). As a powerful tool to connect people to hospitality supply around the world, and provide them quality spaces to stay, it heavily relies on the … Read more

Data Visualisation using Python

Introduction In today’s data-driven world, the ability to visualize data effectively is a key skill. This blog post introduces the fundamentals of data visualization using Python, a powerhouse in the data science toolkit. We’ll explore essential libraries like GeoPandas, Plotly and Contextily, guiding you through the process of transforming raw data into insightful, visually appealing … Read more

SWIFT

“Your new ally in Public Transportation” – Problem – Today, urban commuters who rely on public transportation are faced with four principal challenges: – Solution – A multi[modal-city] transport application that enhances passenger’s experience and improves public transport system’s efficiency across different cities, at the country level. – Why now? – The covid-19 pandemic has … Read more

FloodZone Analytics

Introduction Water-related disasters, such as floods and droughts, have become increasingly frequent and severe due to climate change, representing significant global challenges. Urbanization and land use changes are contributing factors, with settlements in high flood-risk areas growing. In studying Milan and the Lambro river basin in Northern Italy, we observe increasing frequencies of floods, highlighting … Read more

Visualization of Complex Innovation Data using Python

Innovation is a buzzword these days, and everyone seems to be talking about it. However, truly understanding it is a different ball game. Take the Global Innovation Index by the World Intellectual Property Organization (WIPO), for example. It’s a massive framework that pulls data from top-tier organizations worldwide, scoring countries on 100+ indicators. It’s a … Read more

Cities in Motion

Bogota Public Transport from GTFS

The General Transit Feed Specification (GTFS) is a standardized format designed for the distribution of public transport information globally. This format facilitates the integration of public transportation systems in cities worldwide with popular route planning platforms like Citymapper, Waze, or Moovit. By doing so, it enables users to access information on transport availability and plan … Read more

Can inequality of opportunity be mapped?

An exercise in visually corelating data. Introduction The Swedish educational system is based on merit. Students have to compete for places by means of their average grades. The competition is fierce, especially in large cities such as Stockholm. This project forms an attempt to showcase a possible correlation between the median acceptance grades of schools … Read more

Routing Accessibility

Background Public transportation plays a crucial role in urban planning globally. Extensive research indicates that bus transit has become a highly favored mass mobility system. This preference stems from its cost-effective infrastructure, flexible planning, and discrete architecture that supports incremental growth. Bus transit systems exhibit lower infrastructure costs compared to rail or subway networks, making … Read more

First step towards circular reconstruction. Damage assessment and material mapping of buildings in Ukraine through ground imagery processing.

An apartment building explodes after Russian army tank fire in Mariupol, Ukraine, March 11, 2022. (AP Photo/Evgeniy Maloletka)

Intro Russian full-scale invasion of Ukraine, which started on 24.02.2022, is the biggest war in Europe since WWII. It took the lives of dozens of thousands of Ukrainians a brought massive destruction [1] and ecological catastrophes. Some cities are completely erased. A massive piece of land is still occupied. This war and its consequences are … Read more