1. More data. More information. Conclusion and Future Work
CityView: Urban Data Visualization Carlos Barcelos, Justin Myerson
Advisors: Prof. Yanhua Li, Prof. Xiangan Kong Worcester Polytechnic Institute
Background
CityView Features
CityView Website
More data. More information.
More applications.
Data is being collected at an
amazing rate. It is important
to visualize and make sense
of that data and put it to use.
Fig. 1 SURV, a REU project, was used as a foundation and inspiration for CityView [1]
Fig. 5 Experience Static Data Visualizations
Fig. 6 Explore Time Series Data Visualizations
Fig. 7 Interact with Dynamic Data Visualizations
Fig. 8, 9 CityView interface and QR code access [5]
Conclusion and Future Work
The result of the work done during the course of this project is an interactive website which provides users with a multitude of analysis techniques.
CityView gives users the power to analyze datasets of varying spatial-temporal categorization while providing real- world scenarios in which this system could be used for urban development.
A few of our recommendations for future work to further improve CityView are listed below:
Allow users to upload their own data
Allow for more unique data types
Add live data feed compatibility
Create a dedicated backend
Objectives
Create a feature rich, practical system which:
Allows users to interact with large data sets
Provides depth and clarity of data types, featured datasets, and their visualizations
Is technically and practically ready for future contribution
Technologies
Fig. 2, 3 Leaflet and Mapbox offer robust visualizations of spatially static data [2][3]
Fig. 4 CARTO is a cloud computing platform that provides web mapping tools [4]
REFERENCES
[1] "Smart Urban Visualization". SURV. N.p., Web. 07 Sept
[2] "Leaflet". Leaflet. Agafonkin, Vladimir, Web. 17 Dec
[3] "Welcome to Mapbox". Mapbox. Mapbox, Web. 10 Sept
[4] "CARTO - Location Intelligence Software". CARTO. CARTO, Web. 02 Oct
[5] “Welcome to CityView". CityView. N.p., Web. 26 Feb