I am Associate Professor of Transport Data Science at the Leeds Institute for Transport Studies where I research, develop and teach free, open, reproducible and internationally scalable techniques for working with data to support evidence-based policies.
I am author of papers and books on transport planning, energy, geographic data analysis and modelling. I lead the Transport Data Science module, which is available to students taking Data Science and Data Analytics and Data Science and Urban Analytics courses at the University of Leeds.
PhD in Transport and Energy, 2013
University of Sheffield
MSc in Environmental Science and Management, 2009
University of York
BSc in Environmental Geography, 2008
University of Bristol
Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data.