Summary
Contents
Subject index
Over the past decade, a new set of interactive, open, participatory and networked spatial media have become widespread. These include mapping platforms, virtual globes, user-generated spatial databases, geodesign and architectural and planning tools, urban dashboards and citizen reporting geo-systems, augmented reality media, and locative media. Collectively these produce and mediate spatial big data and are re-shaping spatial knowledge, spatial behaviour, and spatial politics. Understanding Spatial Media brings together leading scholars from around the globe to examine these new spatial media, their attendant technologies, spatial data, and their social, economic and political effects. The 22 chapters are divided into the following sections: • Spatial media technologies • Spatial data and spatial media • The consequences of spatial media Understanding Spatial Media is the perfect introduction to this fast emerging phenomena for students and practitioners of geography, urban studies, data science, and media and communications.
Spatial Data Analytics
Spatial Data Analytics
Introduction
Spatial media are both consumers and producers of vast quantities of spatial big data. A key way of making sense of such data is to use spatial data analytics, which is the data-driven process of generating better scientific, planning and management decisions from georeferenced data. ‘Data-driven’ means that measurements of spatial phenomena drive the nature of the analysis: the data are not only a way to calibrate, validate and test a spatial model but rather the force behind the analysis. Consequently, analysts design spatial data analytical techniques with data in mind (Miller and Goodchild, 2014). This is similar to the definition of geocomputation by Fotheringham (1998): the computer is not just a convenient mechanism ...
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