A student uses geographical information systems on a computer

Geospatial Data Science

Group Leaders

Peter Atkinson

Professor Peter Atkinson

Executive Dean, Distinguished Professor

Centre of Excellence in Environmental Data Science, DSI - Environment, Geospatial Data Science, Lancaster Intelligent, Robotic and Autonomous Systems Centre, LIRA - Environmental Modelling, LIRA - Fundamentals, STOR-i Centre for Doctoral Training

Projects

Mapping geographically co-occurrent cancers in the Morecambe Bay area for designing targeted community-based interventions.
01/02/2022 → 01/12/2024
Research

Can Image Analysis and DNA sequencing be integrated to describe ecological structure?
31/03/2021 → 30/03/2022
Research

DSI: 4DGreenland
19/11/2020 → 18/11/2022
Research

Pilot study: Can we use drone technology for quantifying and monitoring flower resources in field margins?
01/11/2020 → 30/04/2021
Research

DSI: CryoSta-2 ThEMatic PrOducts | Cryo-TEMPO (Phase 1)
01/10/2020 → 31/12/2021
Research

Future Places: A Digital Economy Centre on Understanding Place Through Pervasive Computing
01/10/2020 → 30/09/2025
Research

DSI: Antarctica4d - supplement
15/09/2020 → 14/09/2021
Research

DSI: Earth Observation 4 Surface Mass Balance
01/09/2020 → 31/12/2024
Research

DSI: Copernicus Climate Change Service (C3S)
01/08/2020 → 31/03/2023
Research

DSI: GCRF Exploration and Enhancement of Land Management Strategies Using Hyperspectral Image-ry and Big Data Analytics
01/04/2020 → 31/03/2021
Research

Integrating new statistical frameworks into eDNA survey and analysis at the landscape scale
01/02/2020 → 30/09/2022
Research

Explainable AI for UK agricultural land use decision-making
01/12/2019 → 30/11/2020
Research

Explainable AI for UK agricultural land use decision-making
01/12/2019 → 30/11/2020
Research

DSI: Antarctica4d
15/11/2019 → 15/10/2022
Research

Meltwater Ice-sheet Interactions and the changing climate of Greenland (MII-Greenland)
16/09/2019 → 15/05/2023
Research

IAA: Deep Learning in Massive Area, Multi-scale Resolution Remotely Sensed Imagery (IND Code)
02/09/2019 → 14/08/2020
Research

Understanding and reducing lodging in maize and rice: Impact acceleration
01/05/2019 → 31/08/2019
Research

Independent study on Waste Electrical and Electronic Equipment (WEEE) flows in the UK
01/04/2019 → 31/12/2019
Consultancy

Newton Fund PhD Placement - Xuyu Bai
01/04/2019 → 31/03/2020
Research

Polar Monitoring Mission, Assessment and Consolidation of Requirements and Analysis of Campaign Data
03/12/2018 → 31/12/2021
Research

DSI: Centre for Polar Observation and Monitoring
01/11/2018 → 31/03/2022
Research

SEOM- Sentinel 3 Performance Improvements for ICE sheets (“SPICE”)
01/11/2018 → 31/08/2019
Research

Advancing Drought Monitoring, Prediction, and Management Capabilities (Workshop)
17/09/2018 → 20/09/2018
Research

Sentinel-3 Tandem for Climate (S3TC)
15/06/2018 → 31/12/2021
Research

DSI: Data Science of the Natural Environment
16/04/2018 → 15/04/2024
Research

Rutherford Fund Strategic Partner Grant 2018
01/04/2018 → 31/03/2019
Research

Proximity to Discover: Industry Engagement for Impact
31/03/2018 → 30/11/2019
Research

Envision DTP: A multi-scale assessment of secondary forest in the Brazilian Amazon.
02/10/2017 → 31/03/2022
Research

Indoor Particulate Matter and Personal Mitigation in Guangzhou, China
01/08/2017 → 01/08/2021
Research

Improving Air Quality, Energy Efficiency, Well-Being and Productivity in Private and Public Buildings
01/02/2017 → 01/03/2020
Research

Sustainable regeneration: From evidence based urban futures to implementation
01/05/2008 → 30/04/2012
Research

Research Activity

We are undertaking research to develop innovative spatial techniques in order to increase our understanding of a wide range of environmental and socio-ecological systems.

We are constructing novel geospatial modelling and spatial data science approaches for application to new data streams such as spatial trajectories and satellite Earth Observation data.

Our goal is to apply the techniques that we are developing to answer a range of fundamental science and "grand challenge" questions.

Research Highlights