GIScience UK 2017

Today N/LAB attended the 25th GIScience Research UK Conference, presenting three papers. The first was by student Gregor Engelmann titled: Estimating activity-based land-use through unsupervised learning from mobile phone event series in emerging economies. The […]

Generating Geo-demographic Data from CDR Data: Mobility

Understanding mobility at a population level provides a key role in urban planning. Traditionally undertaken by transport surveys, a key outcome is city wide Origin-Destination (OD) Matrices. While providing known utility, these traditional approaches are […]