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Dr James Millington

Dr James Millington

Reader in Landscape Ecology

Research interests

  • Geography

Biography

Dr James Millington is a broadly trained geographer and landscape ecologist with expertise in developing bespoke modelling tools to investigate spatial, ecological and socio-economic processes and their interactions.

He was appointed Lecturer in 2013, Senior Lecturer in 2017 and Reader in 2021. James is a Fellow of the Royal Geographical Society, a long-standing member of the International Association of Landscape Ecology (including as a committee member of the UK chapter), and a member of the Leverhulme Centre for Wildfires, Environment and Society. He is currently Associate Editor for Plant Ecology and Land journals.

Prior to starting his lectureship, James held a Leverhulme Early Career Fellowship, also in the Department of Geography at King’s. Before this, James spent several years as a Visiting Postdoctoral Associate in the Center for Systems Integration and Sustainability at Michigan State University. James received his PhD in Geography, an MSc in Environmental Monitoring, Modelling and Management (with Distinction), and a BSc (Hons) in Geography (First class), all from King's College London.

Research

  • Landscape change: farming, forestry and fire
  • Wildfire-Environment-Society interactions
  • Agent-based modelling of geographical systems
  • Spatial modelling of ecological succession-disturbance dynamics 

James’ research examines landscapes and how they change, often by using computer models. More recently, his work has broadened in spatial extent to include continental- and even global-scale human impacts and interactions with wildfires, and the drivers and consequences of land use change.

James' research uses innovative methods combining simulation tools, such as agent-based models (ABMs), with qualitative and quantitative approaches to mediate between theory and data for the investigation of geographic phenomena. Much of James’ previous work has examined ecological processes and human-environment interactions to inform the sustainable management of multi-resource landscapes.

Found out more about James' research, including latest papers, code, presentations and posters at: https://landscapemodelling.net

Teaching

Undergraduate

James leads the Spatial Data Science Pathway and teaches on the following modules:

  • 5SSG2046 Field Research in Physical Geography
  • 5SSG2059 Foundations of Spatial Data Science
  • 5SSG2060 Principles of Spatial Data Science
  • 6SSG3077 Applications of Spatial Data Science

PhD supervision

James welcomes inquiries from excellent candidates wishing to pursue research that investigates:

  • ecological processes and human-environment interactions in forest and agricultural landscapes;
  • innovative uses of agent-based modelling to understand physical and/or social geographical systems.

Further details

See James' research profile

    Research

    earth-banner
    Physical & Environmental Geography research group

    Researching the interactions between the Earth’s hydrological, geomorphological, atmospheric and ecological processes at different geographical scales.

    lidar_image_london_Kelly
    Earth Observation and Environmental Sensing Hub

    The Earth Observation and Environmental Sensing (EOES) Hub is an interdisciplinary research group at the Department of Geography, King’s College London.

    cnes herox
    Centre for Non-Equilibrium Science (CNES)

    CNES acts as an international hub for cross-disciplinary research in non-equilibrium science.

    FEATURE CUSP Window
    Centre for Urban Science and Progress (CUSP) London

    CUSP London is a collaboration between King’s College London and New York University, which brings together researchers, businesses, local authorities and government agencies, to apply data science and visual analytics to challenges in and for London.

    fire
    Leverhulme Centre for Wildfires, Environment and Society

    Transforming the scientific and practical understanding of wildfire through interdisciplinary research

    Digital elevation model GIS 3D illustration
    Geocomputation and Data Science Research Hub

    The Geocomputation and Data Science Research Hub provides expertise in solving contemporary global problems using data.

    News

    World can't rely on tree planting to limit climate change, says report

    Little consideration has been given by the IPCC to the feasibility of schemes that remove carbon dioxide from the atmosphere - despite many countries banking...

    trees-birdseye-robert-bye-EKLr56NaJDw-unsplash

    Brazilian conservation policy less effective on private lands

    A policy designed to conserve forests has been less effective on privately-owned land in the Amazon due to an exemption for small property owners, leading to...

    Deforestation in the Amazon

    Features

    Supporting students and staff in the world of big data

    New modules on Spatial Data Science are making big data accessible to students

    DAFM - modelling with big data - main image

    Spotlight

    Putting survivors at the centre of disaster response

    When disasters hit, International NGOs go to help reconstruct in the aftermath. However this usually creates a long term dependence on humanitarian aid....

    Climate change flooding Bangladesh

      Research

      earth-banner
      Physical & Environmental Geography research group

      Researching the interactions between the Earth’s hydrological, geomorphological, atmospheric and ecological processes at different geographical scales.

      lidar_image_london_Kelly
      Earth Observation and Environmental Sensing Hub

      The Earth Observation and Environmental Sensing (EOES) Hub is an interdisciplinary research group at the Department of Geography, King’s College London.

      cnes herox
      Centre for Non-Equilibrium Science (CNES)

      CNES acts as an international hub for cross-disciplinary research in non-equilibrium science.

      FEATURE CUSP Window
      Centre for Urban Science and Progress (CUSP) London

      CUSP London is a collaboration between King’s College London and New York University, which brings together researchers, businesses, local authorities and government agencies, to apply data science and visual analytics to challenges in and for London.

      fire
      Leverhulme Centre for Wildfires, Environment and Society

      Transforming the scientific and practical understanding of wildfire through interdisciplinary research

      Digital elevation model GIS 3D illustration
      Geocomputation and Data Science Research Hub

      The Geocomputation and Data Science Research Hub provides expertise in solving contemporary global problems using data.

      News

      World can't rely on tree planting to limit climate change, says report

      Little consideration has been given by the IPCC to the feasibility of schemes that remove carbon dioxide from the atmosphere - despite many countries banking...

      trees-birdseye-robert-bye-EKLr56NaJDw-unsplash

      Brazilian conservation policy less effective on private lands

      A policy designed to conserve forests has been less effective on privately-owned land in the Amazon due to an exemption for small property owners, leading to...

      Deforestation in the Amazon

      Features

      Supporting students and staff in the world of big data

      New modules on Spatial Data Science are making big data accessible to students

      DAFM - modelling with big data - main image

      Spotlight

      Putting survivors at the centre of disaster response

      When disasters hit, International NGOs go to help reconstruct in the aftermath. However this usually creates a long term dependence on humanitarian aid....

      Climate change flooding Bangladesh