06/12/2025 –, Main Stream Linguagem: English
Have you heard the expression, Losing the Forest Through the Trees? In a nutshell it means being so focused on details that we miss the bigger picture.
Often in geospatial we are guilty as charged. It is about this tool or that platform vs the important work at hand. Building efficient workflows are an important part of building capacity to hold bigger stories.
A powerful workflow I share when building data stories includes multi-faceted python libraries integrated with a wide variety of visual storytelling tools. Specifically QGIS, blender, Unreal engine and open source integration bringing a series of interconnected issues—including deforestation, pollution, habitat destruction, and biodiversity loss—representing a detachment from ecological systems, exacerbated by not only the energy requirements of exponential AI implementation but global industrial practices that allow environmental harm to be displaced geographically and socially.
Quantitative Storytelling portrays an intricate dance between objective reality—Using the city as an operational unit we will build schema from multiple data sources and learn to tell stories about urban form and morphometrics learning from social demographics and the vulnerabilities encountered with climate risk and change.
In an era dominated by pressing environmental challenges, the field of geospatial analysis holds the potential to illuminate critical narratives often obscured by technical details. This project explores the use of Python-based workflows and visual storytelling tools—specifically QGIS, Blender, and Unreal Engine—to create cohesive narratives that highlight interconnected ecological issues such as deforestation, pollution, habitat destruction, and biodiversity loss. These interconnected concerns illustrate the societal detachment from ecological systems, which is further complicated by the energy demands of AI technologies and prevailing industrial practices. Through a quantitative storytelling framework that leverages urban morphometrics and social demographics, we will reveal the vulnerabilities faced by communities in the context of climate risk. This effort seeks to transition the discourse from mere technicality to impactful narratives that drive awareness and inspire meaningful action towards environmental sustainability.
