Summary
Contents
Subject index
The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization. At the same time, the way that data are used to understand urban systems has changed dramatically. Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics. Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences.
Visualizing the City
Visualizing the City
Learning Objectives
By the end of this chapter students will understand the following:
- Data visualization is the art of presenting data graphically.
- Urban governance can be assisted through visualization, and can also be used by citizens to lobby for change.
- Effective visualization requires planning and consideration of visual hierarchy.
- There are numerous visualization methods applicable to spatial data, and care is required when selecting an appropriate technique.
Making Sense of Urban Data
Much of what we do and the places we go on a day-to-day basis are captured by various forms of urban data (see Chapter 2); however, such raw data resources need work in order to be of value to citizens and policy makers. While many may think that the translation of data into information ...
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