SPATIO-TEMPORAL ANALYTICS, URBAN ANALYTICS

Juliana Freire, Professor of Computer Science and Engineering and Data ScienceExecutive Director, NYU Moore-Sloan Data Science Environment, New York, USA

Course Outline:

Lecture 1:
Urban Data: Challenges and Opportunities
Data Quality Issues
Exploring Urban Data: Usability and Interactivity

Lecture 2:
Finding Interesting Features
Using Data to Discover and Explain Data
Transparency and Reproducibility

Hands-on 1:
Data cleaning

Hands-on 2:
Exploring shadows and trees in NYC

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Course Material (lab and data) at https://github.com/julianafreire/ACMSummerSchool2017

Course Notes at https://www.dropbox.com/s/4xsq0nubnbfmwaq/big-urban-data-lecture.pdf?dl=0

The students will have to install OpenRefine and Jupyter+a few libraries.

The instructions are in the lab descriptions in github.