Spatial Statistics 2017: One World: One Health

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The abstract submission system is now closed.

  • Space-time statistics
  • Models for point processes
  • Lattice models
  • Geostatistics
  • Copulas in space and time
  • Spatial extremes
  • Change-point analysis
  • Estimation methods
  • Issues of scale: upscaling and downscaling methodology
  • Stochastic geometry, random sets and stereology
  • Causal statistical modeling
  • Image analysis (e.g. satellite sensor image time-series, DNA data, brain imaging)
  • Predictive modelling
  • Spatial data quality and uncertainty
  • New spatial data sources (e.g. social media, Google, citizen science, crowd sourced data)
  • Large dimensional big spatial data

With these methods being applied in a range of relevant domains. For the theme of the conference, we particularly invite contributions in:

  • Statistical aspects of epidemiology
  • Geo-Health and One Health
  • Plant and animal diseases
  • Health and Global change
  • Zoonotic and vector-borne diseases (e.g. emerging epidemics)
  • Hazards, disasters and risks (e.g. outbreaks, risk mapping)
  • Ecology (e.g. dispersion, migration, colonisation and invasion of species)
  • Spatial econometrics

Once the abstracts is accepted, at least one of the authors must register for and present at the conference.

For revisions or queries regarding papers already submitted

If you do not receive acknowledgement for your abstract submission or you wish to make any essential revisions to an abstract already submitted, please DO NOT RESUBMIT your abstract, as this may lead to duplication. Please contact us (Please do not email credit card information under any circumstances) with details of any revisions or queries. Please quote your reference number if you have one.