Protected: Housing For All – Building Inequalities?
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Lessons in Timber: A School for the city of Manchester
The aim of the project was to explore the timber grid-shell system. We have decided to look at this in the context of the U.K as the use of timber in construction has become contentious in recent years following the Grenfell tower catastrophe. However, if the UK is to reach its net zero goal, we … 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
Comparing the land value estimation of Airbnb and the housing market
In this exercise, I visualised the relationship between the price of Airbnb accommodations compared to the price that the regular housing market puts. The visualisation consists of two datasets in csv format as well as a shapefile. The process started by cleaning the data so that equivalent columns in the csv’s could be matched. After … 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
