Urban Data Analytics: (3) Showcase - Noise 311 Research
Many of the social and environmental phenomena have spatial characteristics. Geo-spatial methods, such as, maps, GIS, and etc, are excellent ways to visualize and understand these characteristics. In this page, I will introduce some of the urban analytics and geospatial modelling techniques that I use frequently. Below I showcase one of the projects, called "Noise 311 Research" that leverages the power of spatial analytics, web mapping, and geo-visualization. One of the tools
Urban Data Analytics: (2) Data storage and processing
1. Introduction Needless to say, big data is “big” in size. So there comes the challenge in storing and processing the data. Often times, you don’t need to worry about data storage because, in many cases you are just given a dataset to work on your hard drive or a server somewhere. If you are involved in data collection aspect of big data, however, you will need to consider where and how to store the data. It varies with industry, but when we talk about big data in today’s te