Quantitative, Qualitative, and Historical Urban Data Visualization Tools for Professionals and Stakeholders

Author:

Dunne Cody,Skelton Carl,Diamond Sara,Meirelles Isabel,Martino Mauro

Publisher

Springer International Publishing

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pipe(line) Dreams: Fully Automated End-to-End Analysis and Visualization;Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics;2024-06-14

2. Understanding urban growth modeling in Africa: Dynamics, drivers, and challenges;Cities;2024-03

3. Transforming Large-Scale Participation Data Through Topic Modelling in Urban Design Processes;Communications in Computer and Information Science;2023

4. Towards the automated large-scale reconstruction of past road networks from historical maps;Computers, Environment and Urban Systems;2022-06

5. Data Visualization Guide for Smart City Technologies;Electronic Governance with Emerging Technologies;2022

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