Visualising Shanghai’s urban sprawl with big data

Urban sprawl and public health.

When regular steam ferry service between Brooklyn and Manhattan began in 1814, the first commuter suburb became possible. 1 Suburbs continued to develop slowly but steadily during the 19th and early 20th centuries, thanks to transportation advances such as commuter trains and streetcars, the innovations of early real estate developers, and the urge to live in pastoral tranquility rather than in...

Visualising Chord Progressions in Music Collections: a Big Data Approach

The analysis of large datasets of music audio and other representations entails the need for techniques that support musicologists and other users in interpreting extracted data. We explore and develop visualisation techniques of chord sequence patterns mined from a corpus of over one million tracks. The visualisations use different representations of root movements and chord qualities with geo...

Urban Sprawl: Lessons from Urban Economics

strong sentiment against the phenomenon known as “urban sprawl” has emerged in the United States over the past few years. Critics of sprawl argue that urban expansion encroaches excessively on agricultural land, leading to a loss of amenity benefits from open space as well as the depletion of scarce farmland resources. The critics also argue that the long commutes generated by urban expansion c...

Visualising urban geographies

In studies of towns and cities, and indeed throughout the humanities and social sciences, a significant volume of data is held as an address, or as an area, such as a registration district or ward. We even talk of post codes or zip codes when referring to differential levels of health provision or motor insurance. However, at all academic levels, from undergraduate projects to advanced postdoct...

Measuring and modeling urban sprawl: Data, scale and spatial dependencies