Justin van Dijk

Research

Welcome. I am a Postdoctoral Research Associate in the Geospatial Analytics and Computing Group, at the Department of Geography, University College London. Here, I am part of the Urban Dynamics Lab, a five year EPSRC-funded research project bringing together expertise from across UCL (Space Syntax, Centre for Advanced Spatial Analysis, Geography and Computer Science), to explore and address questions at the intersection of city and regional economic development and urban modelling, data analytics and computing.

I am mainly interested in urban analytics, geo-demographics, urban transport, spatial inequalities, and big data applications in scarce data environments. I have extensive experience in the domain of Geographic Information Systems, urban studies, and transport research. I also possess a wide skill set in the field of advanced spatial analysis, including experience with Python programming, R scripting, PostgreSQL with PostGIS, and webmapping through Leaflet.js.

Currently I am working on the following projects:

  • Re-purposing consumer and administrative data in order to develop robust annual estimates of residential mobility between all UK neighbourhoods.
  • Exploring the generational and inter-generational movements of family groups across Great Britain.

Research Interests

Big Data applications in scarce data environments

Geo-demographics and Urban Analytics

Spatial inequalitie in urban environments

Urban transport and human mobility

Core skills

Topic Programme / Language / Library
Geographic Information Systems R, Python, Q-GIS, ArcGIS
Data processing R, Python, UNIX shell, GNU Parallel
Data analysis R, Python
Data visualisation ggplot2
Project management Git, GitHub
Web mapping Leaflet.js
Web development HTML, CSS, JavaScript, Django
Database management PostgreSQL, PostGIS
Typesetting LaTeX

Resume

For my full Curriculum Vitea, please see my profile on LinkedIn or download it as a PDF.

Professional Experience

Postdoctoral research associate

2018 - Present

University College London, United Kingdom

Department of Geography. Geospatial Analytics and Computing Research Group. Working on the analysis and visualisation of big spatial population data sets; both historic and contemporary.

Junior Lecturer

2014 - 2017

Stellenbosch University, South Africa

Department of Logistics. Part-time. Tasks included thesis supervision of BSc (Honours) students and teaching the post-graduate course Spatial Accessibility and Transport Network Analysis.

Junior Lecturer

2013

Utrecht University, the Netherlands

Department of Human Geography and Planning. Tasks included thesis supervision of BSc students and teaching various undergraduate courses on Geographic Information Systems Human Geography and Planning.

Education

Doctor of Philosophy

2014 - 2017

Stellenbosch University, South Africa

Transport Economics. Thesis: Designing Travel Behaviour Change interventions: A spatiotemporal perspective.

Master of Science [Cum Laude]

2011 - 2013

Utrecht University, the Netherlands

Human Geography and Planning. Thesis: Towards spatial justice: The spatial equity effects of a toll road in Cape Town, South Africa.

Bachelor of Science

2007 - 2011

Utrecht University, the Netherlands

Human Geography and Planning. Thesis: Contemporary Orientalism? Representations of Islam and Muslims in the Dutch Press: a content analysis of ‘De Volkskrant’ and ‘De Telegraaf’, 2001-2010.

Recent Publications

For a full list of my publications, please see my profile on ResearchGate or download my full Curriculum Vitea.

Van Dijk, J. T. and Longley, P. A., 2020, Interactive display of surname distributions in historic and contemporary Great Britain. Journal of Maps. 16(1): 68-76. doi 10.1080/17445647.2020.1746418

Kandt, J., Van Dijk, J. T., and Longley, P. A., 2020, Family name origins and inter-generational demographic change in Great Britain. Annals of the American Association of Geographers. Advance Online Publication. doi: 10.1080/24694452.2020.1717328

Engin, Z., Van Dijk, J. T., Lan, T., Longley, P. A., Treleaven, P., Batty, M., and Penn, A., 2020, Data-driven urban management: Mapping the landscape. Journal of Urban Management. 9(2): 140-150. doi: 10.1016/j.jum.2019.12.001

Van Dijk, J. T., 2018, Identifying activity-travel points from GPS-data with multiple moving windows. Computers, Environment and Urban System 70: 84-101. doi: 10.1016/j.compenvurbsys.2018.02.004

Van Dijk, J. T. and Krygsman, S. C., 2017, Using GPS-based activity spaces and opportunity indicators for travel behaviour analysis. Journal of Urban Technology 25(2): 105-124. doi: 10.1080/19475683.2017.1340340

Van Dijk, J. T. and De Jong, T., 2017, Post-processing GPS tracks in reconstructing travelled routes in a GIS-environment: Network subset selection and attribute adjustment. Annals of GIS 23(3): 203-217. doi: 10.1080/10630732.2017.1400814

Projects

GBNames

2018 - Present
web development
data science
mapping

Website development. GBNames explores the spread of family names across Great Britain, using historic censuses and recent consumer registers, and links surnames to consumer data statistics. The latest version of the website is accessible through: apps.cdrc.ac.uk/gbnames.

Gamble Aware

2019 - Present
web development
mapping

Webmapping. Data analysis and visualisations on the geographical distribution of supply and demand for treatment and support for problematic gamblers. The produced maps can currently be accessed through: gamble-aware.mappingdutchman.com.

UBEL DTP

2020 - Present
report writing

Scoping study for the UCL, Bloomsbury and East London Doctoral Training Partnership (UBEL DTP). This scoping report reviews the proposals of the 28 co-funded and collaborative studentships that have been taken on by UBEL DTP between 2018 and 2020 in order to better understand potential factors and themes that underpin successful partnerships and collaborations.

Greater London Authority

2019
data science

Preparation of selected data products on ethnicity, population churn, migration, and social mobility for the Greater London Authority.

Harambee

2016 - 2017
data science

Data analysis using well-known statistical techniques as well as more advanced machine learning classifiers for Harambee Youth Employment Accelerator to better understand, and possibly predict, successful job placements.

Contact

Location:

Department of Geography, North-West Wing, Gower Street, London, WC1E 6BT