Classifying outdoor walking with Ordnance Survey data

This new open-access article on leisure walking in Britain stems from a collaboration with the Ordnance Survey [see pdf]. Title: "The context of outdoor walking: A classification of user-generated routes" Authors: Andrea Ballatore, Stefano Cavazzi, Jeremy Morley Publication: The Geographical Journal Abstract. Leisure walking has known benefits to public health, from both physical and psychological … Continue reading Classifying outdoor walking with Ordnance Survey data →

PhD Studentship at Uni. of Leicester / Ordnance Survey / Birkbeck on Automated Machine Learning

Project Title: Discovering the way: Automated Machine Learning improvement of Ordnance Survey path network data Host institutions: University of Leicester, Leicester, UK, co-hosted at Birkbeck, University of London and Ordnance Survey Funding: Full scholarship for UK/EU students by Ordnance Survey Application deadline: 9 August 2020 Start date: September 2020 Application link: https://le.ac.uk/study/research-degrees/funded-opportunities/gge-de-sabbata-os-2020 Supervisory Team Principal Supervisor: … Continue reading PhD Studentship at Uni. of Leicester / Ordnance Survey / Birkbeck on Automated Machine Learning →

Research project: Searching for Unique Places

PI: Andrea Ballatore, Birkbeck, University of London, funded by Ordnance Survey (£40,000), 2019-20 Summary. This project will develop a framework for the search and recommendation of places. Unlike entities with clear boundaries, places such as neighbourhoods and towns are configurations of geo-located objects with fuzzy and arbitrary borders. Existing similarity search approaches have been optimised … Continue reading Research project: Searching for Unique Places →