Urban Image Mapping
Beijing City Image Data Analysis
Analyzed 20,000+ street view images using DPT models to extract urban features and correlated them with social sentiment data.
Keywords:Data Visualization, Urban Analytics, Computer Vision
Role:Computational Designer
Team:Individual
Technique:Python, ArcGIS, AI, NLP
Date:2025.07
Mapping the invisible emotional layer of the city onto its physical fabric.
This project explores the correlation between physical urban elements and public discourse. By analyzing over 20,000 street view images via DPT Image Segmentation and clustering 50,000+ social media posts using NLP models, the study visualizes the 'Digital City Image' of Beijing's Second Ring Road core area. It reveals how Minimum Stayable Units (MSUs) influence emotional intensity and social data density.
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