The vast penetration of digital technologies and their pervasive nature has resulted to an abundance of traces about almost every type of human activity. These traces, which collectively form what’s now been termed Big Data, tend to be geo-referenced providing a potentially useful data source for urban and regional researchers. By connecting this data availability with computational advances which enable processing and modelling at a very low cost, the idea of building a science based around spatial data becomes more sensible and almost imperative.
The derived question from these changes has to do with the value added of the current data wealth in spatial sciences. What can we learn about cities and regions by employing Big Data and other non-traditional data sources in urban and regional modelling?
In order to answer this question we call for papers focusing on the below points:
Lecturer in Human Geography
School of Geography, Earth and Environmental Sciences
University of Birmingham (UK)
Assistant Professor
Department of Geography
Florida State University (US)
Lecturer in Human Geography
School of Geography, Earth and Environmental Sciences