23 citations · 28 across the 5 of their papers we have counts for
6 papers
Agent-Based Modelling for Urban Analytics: State of the Art and Challenges
Nick Malleson, Mark Birkin, Daniel Birks +5
Agent-based modelling (ABM) is a facet of wider Multi-Agent Systems (MAS) research that explores the collective behaviour of individual `agents', and the implications that their be…
Data assimilation with agent-based models using Markov chain sampling
Daniel Tang, Nick Malleson
Every day, weather forecasting centres around the world make use of noisy, incomplete observations of the atmosphere to update their weather forecasts. This process is known as dat…
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Oscar Giles, Kasra Hosseini, Grigorios Mingas +13
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing. However, for many applications, synthetic data has been sho…
gwverse: a template for a new generic Geographically Weighted Rpackage
Alexis Comber, Chris Brunsdon, Martin Callaghan +3
GWR is a popular approach for investigating the spatial variation in relationships between response and predictor variables, and critically for investigating and understanding proc…
Point Pattern Processes and Models
Nik Lomax, Nick Malleson, Le-Minh Kieu
In recent years there has been a substantial increase in the availability of datasets which contain information about the location and timing of an event or group of events and the…
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter
Nick Malleson, Kevin Minors, Le-Minh Kieu +3
Agent-based modelling is a valuable approach for systems whose behaviour is driven by the interactions between distinct entities. They have shown particular promise as a means of m…