Courses I teach on

1. Visual Analytics – I am course organiser on this course which provides an introduction to ideas of cartography and data visualisation, showing how this can be used to examine geographical data sets using both visual and statistical methods of data exploration. Visual analytics is a methodology that brings together ideas of visualisation, user-interaction with data, and quantitative analytical techniques with the ambition of supporting analytical reasoning of geographic data. The course builds a foundation of knowledge in digital cartography and approaches to interactive visualisation. It introduces a set of quantitative data analysis techniques explored through a set of practicals.
2. Applied Research Skills in Environment and Society – I teach applied statistics to masters level students  with an emphasis on collecting and analysing data. Through a mixture of practical’s, lectures, tutorials and discussion we will explore why and how we do science at the intersection of the social and natural sciences. The course has a focus on mixed methods research by introducing students to quantitative and qualitative skills that can be used independently but that are increasingly used in combination with one another.
3. Earth Observation for Sustainable Development Goals (EO4SDGs) – I co-developed this course which introduces students to the role that EO can play in measuring and monitoring of progress towards the sustainable development goals.
4. Research Practice and Project Planning – I am a lecturer for this course which introduce skills in research methods and project management useful to the GIS professional in the work environment or research scientist. These include writing, presenting, organising, managing projects and time, and conducting field work. The course introduces the GIS dissertation and leads into the annual GIS mini-conference, where students contribute talks on their chosen field of research.
5. Passive Earth Observation – I am a lecturer on this course which provides an introduction to the theory and practice of remote sensing. The aim is to equip students with the wide range of background knowledge and practical skills necessary to use remotely sensed observations with understanding. I introduce students to image analysis techniques used for very-high spatial resolution satellite image data (<1m).

Dissertations Supervised

I am always happy to chat to students interested in combining social and environmental data and techniques to research aspects of human development, sustainability and the sustainable development goals. Some dissertations that i have supervised in the past include:

2025

2024

• Remote Sensing Approach for Urban Damage Assessment in Khartoum, Sudan – MSc
• Effective visualisation of flood uncertainties in the Czech Republic – MSc
• Toward Automated Recognition of Map Context using Deep Learning – MSc

2023

• Better data for sustainable development: segmenting and classifying buildings and building roof types in high resolution satellite imagery in Bulawayo, Zimbabwe – MSc
• Livelihood Classifications in Rural Kenya – MSc
• Monitoring Acid Mine Drainage in the Donbas since 2014 – MSc
• The Development of an Interactive Map-based Web for Uganda travel time to the nearest health facility – MSc
• Measuring access to health facilities: does spatial resolution matter? – MSc
• UNICEF’s Children’s Climate Risk Index: Is it representative despite Subnational regional variability across social vulnerability and climatic stresses? – BSc
• Estimation of land cover disturbance of the Three Gorges Dam and the relating loss in carbon storage by remote sensing – BSc

2022

• The Runner’s Dilemma: Exploring Perceptions Surrounding the Environmental Impact of Hill Running – MSc
• Assessing Climate Resiliency among Smallholder Farmers – MSc
• Exploring UNICEF’s Climate Risk Thresholds to Develop a Children’s Climate Risk Index – MSc
• Establishing microrefugia for Scots pine within Glen Affric – MSc
• Range Anxiety and the “Carbon Cost of Convenience” – MSc
• Assessing the potential for agrivoltaic systems to be implemented in the UK to increase renewable energy production – BSc
• Detecting Mangrove Damage and Recovery Patterns in Cuba Following Hurricane Irma using Sentinel-2 – BSc – Won the Royal Geographical Society Quantitative Geography Award.

2021

• Disaster risk Reduction and Climate Change Adaptation – integrating the Sendai Framework and the Paris Agreement towards local action to sustainable development in southern Brazil – MSc
• Investigation and Research on the Use of Community Park in Guangzhou and the Physical, Mental and Social Health Benefits to Users – MSc
• Assessing the Viability of Enacting Energy-Saving Measures for University-Owned Buildings at the University of Edinburgh – MSc

2020

• Localization of Roof Type in Rural Tanzania using High-Resolution Satellite Imagery and Convolutional Neural Networks – MSc
• Testing the utility of displaced Demographic and Health Survey (DHS) Program data for measuring travel time to essential services – MSc
• Combining Population Density, Built Up Surface and Nightlights to Map Spatial Inequality: A Case Study in Malawi – MSc
• Automatic Segmentation of Rural Buildings in High Resolution Satellite Imagery – MSc

2019

• DEVELOPING AN AUTOMATED ALGORITHM TO DETECT RURAL HOUSE ROOFS IN KENYA USING FINE SPATIAL RESOLUTION IMAGES
• Change Analysis for multilevel object-based land classification of agro-forestry landscapes in Kenya and effect of welfare
• Poverty Mapping in Mozambique by Integrating household surveys and Geospatial Metrics
• Mapping landcover within the 100 Wild Islands Conservation Area, Nova Scotia using a hybrid image classification approach: A comparison of medium-resolution (Sentinel-2) and high-resolution (WorldView-2) satellite imagery