Уровень 0 · материалов: 4
В кластер входят документы, описывающие применение анализа данных, IT-технологий и визуализации для исследования или планирования городской среды.
Общие признаки: использование больших данных, урбанистический анализ, визуализация данных, городское планирование и развитие
Группа выше: Геоанализ городской среды
Смысл: The main idea is that modern urban transport planning should be based on the rigorous analysis and visualization of diverse big data to create efficient, accessible, and human-centric city infrastructure.
Urbica and international experts used big data and custom visualization tools to redesign Moscow's central surface transport network into the more efficient 'Magistral' system.
Смысл: The main idea is that modern urbanism has evolved from simple architectural planning into a high-tech, multidisciplinary science where IT, Big Data, and environmental sustainability are the primary drivers of city development.
An account of the CUPUM conference in China highlighting how IT, Big Data, and VR are transforming urban planning into a rigorous, multidisciplinary science.
Смысл: The text demonstrates how open government data can be used for large-scale urban analysis and historical research through data mining and visualization.
The author analyzes a dataset of one million Russian residential buildings to visualize historical construction trends, architectural patterns, and urban density.
Смысл: The text is a technical and creative case study on how to synthesize disparate open-source geospatial data to create a meaningful urban visualization. It highlights the intersection of data engineering, cartographic design, and web development to preserve and explore urban history.
A detailed guide on how the author built an interactive and physical map of Saint Petersburg's building ages using QGIS, Python, and various open data sources.