Phase 2 : answer question 5,6,8

5.Are there historical precedents for this kind of work with data? For this, please explore and cite at least one of the books from the “Historical/Foundational” section of the course-reserved books (see syllabus).


City Icon is a generative city simulation featured at Sustainable Cities exhibition in the Crystal building in London.
The city is a mix of intersecting systems, fluently transforming and interacting with each other. Traffic jams, water streams, nature enclaves, emergency states and energy sources appear and disappear during the day giving a feeling of dynamic but well balanced city.




Visualizations of mobility data such as taxi or bike sharing trips have become very popular. I found the one of the best most recent examples is cf. city flows developed by Till Nagel and Christopher Pietsch at the FH Potsdam. cf. city flows visualizes the rides in bike sharing systems in New York, Berlin and London at different levels of detail, from overviews of the whole city to detailed comparisons of individual stations:



6.What kinds of data visualizations can help them? What kinds of visualizations can’t help them? For this, it may help to explore the books in the “Technique/Science” section of the course reserves (see syllabus).

I try to use the QGIS to show people the movement of the route of each person.

The data visualizations aiming to different tester ride in NYC public spaces. The visualizations have a focus on the patterns of moving entities in public like riders as well as the interaction between these entities and physical structures like roads, sidewalks, buildings and parks. The data visualization intends to provide strong visuals on what we all experience in our daily lives in different routes.

screen-shot-2016-11-10-at-5-42-55-pm      screen-shot-2016-11-10-at-5-43-56-pm

screen-shot-2016-11-10-at-5-44-29-pm            screen-shot-2016-11-10-at-5-44-51-pm


8.If applicable, please integrate your thoughts on speakers and/or site visits so far.

*User experience lead what we will visualization in each project.

*communicate information clearly and efficiently

*makes complex data more accessible, understandable and usable.

*Color and structure is important.


Rahul Bhargava: Data Storytelling