Topological time series analysis
Dr Florian Pausinger
Topological time series analysis of spatially-explicit data
The main aim of this collaboration between Dr Florian Pausinger (QUB) and Dr Isabel Rosa (Bangor University) is to project the future of land use in Wales (and beyond). Dr Isabel Rosa is an expert in environmental data analysis and her expertise complements the mathematical expertise of Dr Florian Pausinger.
From a mathematical point of view, we aim to develop mathematical and computational tools based on topological data analysis (TDA) to monitor, evaluate and model spatial time-series data.
From an applied point of view, we aim to understand the underlying dynamics of land use change and develop a model that can be used to analyse different future scenarios to support decisions of policy makers.
Land use change is a key driver of species loss, has a major impact on the ability of the ecosystems to provide benefits to people, and ultimately greatly impacts human well-being. In this context scenarios are great tools to envision the impact of policy implementation. Therefore, developing spatially-explicit scenarios of future land use change is of great importance to aid policy and decision makers in the UK understand unintended consequences of decisions and possibilities to counteract developments.
LMS Scheme 4 Research in Pairs grant
Dr Isabel Rosa, Bangor University, Wales
Lecturer in Environmental Data Analysis
https://www.bangor.ac.uk/natural-sciences/staff/isabel-rosa/en