Time series and spatial modelling encompass statistical and computational frameworks for analysing data that vary over time or across geographic space. Time series approaches characterise temporal ...

Spatial econometrics examines the statistical interdependence that arises when observations are indexed by location or network position. Core modelling frameworks include spatial autoregressive models ...

As 5G and artificial intelligence (AI) become true cornerstones of virtual/augmented realities, businesses are beginning to see the emergence of significant and meaningful applications based on these ...

Effective immune recognition is critical for the control of early-stage tumours and for the success of immunotherapies. Yet many cancers evade immune surveillance through poorly understood spatial and ...