Spatial-Temporal Modelling

 

Definition of Spatial-Temporal Modelling

Spatial-temporal modelling relates to problems where we want to analyse and predict how something varies over space and/or time. Such problems can exist at widely different spatial and temporal scales, ranging from detailed medical imaging data to Geographic Information System (GIS) data, and from ‘real-time’ medical and operational time frames to decades long ecosystem monitoring time frames. 

Who works in Spatial-Temporal Modelling

Students: AswiJacinta Holloway; Em Rushworth; 
ResearchersDr Daniel Kennedy; Dr Susanna Cramb; Dr Julie Vercelloni; Dr Earl Duncan; Dr Paul Wu; Dr Edgar Santos Fernandez; Dr Insha Ullah
Professors: Kerrie Mengersen; James McGree
Past BRAG Members: Dr Su Kang; Dr Clair Alston; Dr Marcela Cespedes; Dr Cathy Hargrave; Dr Ben Fitzpatrick; Dr Sam Clifford; Dr Nicole White

What Expertise do we have?  

  • Identify the right scale to model spatial-temporal data
  • Manipulating a range of spatial, temporal and longitudinal data types using a variety of statistical, mathematical and custom software
  • Identify, quantify and predict variations from one observation in space-time to another either directly or as part of a hierarchy
  • Identify the important variables that affect outcomes of interest (variable selection)
  • Identify unusual spatial-temporal trends
  • Identify, quantify and predict variations between baseline performance and performance when the system is subject to time-varying inputs or disturbances
  • Identify the nature of spatial dependence in data and model it accordingly
  • Visualise spatial-temporal data and results of analysis

Case studies: Concrete examples of what we have done

Environment:

  • Dr Clifford- hierarchical modelling of school air quality in Brisbane
  • Dr Wu – modelling environmental windows and the effect of dredging on marine species
  • Dr Fitzpatrick – modelling spatial distribution of soil carbon in agricultural land
  • Dr Vercelloni – semi-parametric hierarchical modelling of large-scale coral cover
  • Dr Kang- in collaboration with the Australian Institute of Marine Science, model-based adaptive monitoring methods are being developed for spatio-temporal coral reef data. Modelling allows updating of existing information using past information, so new decisions incorporate lessons learnt from past observations.
  • Dr Alston and Dr Ullah- Analysis of Landsat images in relation to fireant habitation to assist in planning the surveillance strategy for upcoming seasons. 

Medical:

  • Dr Cathy Hargrave – tracking changes in medical images over time and identifying critical points to optimise treatment
  • Dr Earl Duncan – modelling medical service utilisation in different geographic areas over time
  • Dr Jannah Baker – modelling hospital admissions in different postcodes and joint risk factors for type-2 diabetes

Epidemiology:

  • Dr Susanna Cramb – cancer incidence rates and their space-time distributions
  • Dr. Su Kang- mapping disease presence and its spread over time

Business and Operations:

  • Dr. Paul Wu – dynamic network modelling of airports to provide real-time operational decision support

Links to other capabilities:

  • Decision support systems, applications, visualisations, computationSpatio-Temporal models,

Contact

Kerrie Mengersen: k.mengersen (at) qut.edu.au 

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