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Project

Computational Infrastructure for Geographic Data Science

‘Big data’ — the vast and diverse data traces that humans and machines now collectively produce – allow us to study all kinds of urban processes in more detail than ever before. Despite this apparent promise, its application to analysing the city is still nascent and efforts to do so are relatively disparate. This is partly because of the considerable challenges around access: to datasets, to the correct skill sets, and to the computational power needed for such research. These impediments limit more widespread use and critical evaluation of big data in geography. This project addresses that gap by building a computational infrastructure for geographic data science that provides a foundational basis of data, software and hardware to ease further integration and cross-pollination between data science and geography.
Date:8 Oct 2020 →  30 Sep 2022
Keywords:big data, geographic data science, urban geography
Disciplines:Urban and regional geography, Geospatial information systems