I am a computational geographer with research interests in urban modelling and simulation, data visualisation, complexity science, serious games and GIS. Before joining Swansea University, I gained a PhD from University College London and a BEng Computing degree from Imperial College. My research findings appear in a wide variety of journals including IEEE Transactions on Visualization and Computer Graphics, Transactions in GIS and Geographical Analysis. I recently published a book entitled Explorations in Urban and Regional Dynamics covering the latest developments in dynamic urban modelling.

Areas of Expertise

  • Urban modelling and simulation
  • Data visualisation
  • Complexity science
  • Serious games
  • GIS

Publications

  1. & Explorations in urban and regional dynamics: a case study in complexity science. Routledge.
  2. & DynaMoVis: visualization of dynamic models for urban modeling. The Visual Computer 31(6-8), 1079-1088.
  3. & Order of Magnitude Markers: An Empirical Study on Large Magnitude Number Detection. IEEE Transactions on Visualization and Computer Graphics 20(12), 2261-2270.
  4. & The Relationship of Dynamic Entropy Maximising and Agent-Based Approaches in Urban Modelling. In Agent-Based Models of Geographical Systems. (pp. 705-720). Springer Science & Business Media.
  5. & Using Participatory Computer Simulation to Explore the Process of Urban Evolution. Transactions in GIS 15(3), 273-289.

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Teaching

  • GE-006 An Introduction to Data Visualisation.

    Information is everywhere, from our phones, our televisions, our computers, our newspapers. To create powerful and useful data visualization we need to use skills from art, statistics, mathematics and geography. Over time the use of data visualization to explain the world around us has developed at a rapid pace, as the tools needed to produce data graphics have become more readily available and in response to society's increasing interest in communicating information effectively, accurately and quickly. This module explores the purpose, requirements and methods of data visualization and explores examples relevant to the natural and geographical sciences. The module will also introduce the concepts of Geographical Information Systems and their use as a data visualization tool.

  • GE-200 Placement Preparation: Science Industrial Year

    This generic cross-disciplinary module is a mandatory module for all students who have enrolled (or transferred) onto the Science Industrial Placement Year. The module focuses on the underpinning and fundamental requisites required to gain, enter and progress effectively through an industrial placement. Learners will be introduced to (a) sourcing placements, CV writing, and application techniques; (b) Interview techniques, how to pitch yourself and be successful; (c) workplace fundamentals and IP awareness, behaviors and expectations; and, (d) Key employability skills; getting the most from your Industrial Placement. This module is only mandatory for students who have enrolled on a Science Industrial Year programme of study or who transfer up to the end of level 5.

  • GEG111 Geographical Writing Skills and Personal Development Planning

    This module introduces students to key skills in scientific writing and career development. The module is taught through a tutorial programme throughout the year.

  • GEG268 Dissertation Preparation

    The module prepares students for their independent research dissertation through dissertation fairs, lectures and a series of tutorials focusing upon the formulation and construction of a research proposal. The module also includes three lectures which explore career opportunities for Geography graduates and skills to enhance graduate employability.