The Bartlett Centre for Advanced Spatial Analysis

Dr Andrew MacLachlan

Dr Andrew MacLachlan

Lecturer (Teaching)

Centre for Advanced Spatial Analysis

Faculty of the Built Environment

Joined UCL
27th May 2019

Research summary

Andrew's research interests revolve around developing data-driven urban development recommendations to enhance future sustainability and optimise resource investment. This covers the broad themes of: city science, spatial data analysis, dynamic population modelling and earth observation. His doctoral research used Earth observation to quantify urban growth and demonstrated its application to sustainable city development. With a background in remote sensing Andrew has also been involved with field validation of Sentinel-3 data. 

Teaching summary

Andrew is the director of CASA's Urban Spatial Science master’s programme and a fellow of the higher education academy. He was previously an academic instructor at the University of Southampton and University of Western Australia. Andrew currently teaches undergraduate quantitative methods in data science and visualisation (BASc0005) and convenes the MSc modules: Geographic Information Systems and Science  (CASA0005) and the CASA dissertations across all programmes (CASA0004,10 and 12). 


University of Southampton
Doctorate, Doctor of Philosophy | 2019
University of Southampton
Other higher degree, Master of Science | 2014
University of Sheffield
First Degree, Bachelor of Arts (Honours) | 2013


Andrew MacLachlan is a lecturer in spatial data science and visualisation in the Centre for Advanced Spatial Analysis (CASA), University College London.

Prior to joining CASA he completed his PhD by publication in the department of Geography and Environmental Science at the University of Southampton funded by the Economic and Social Research Council in collaboration with the University of Western Australia. Andrew has worked with a range of global government, industry and charity partners in establishing policy improvements through applied spatial and temporal environmental analysis.