Spatial Statistics 2015

Applications of spatial statistics are for a broad range of environmental disciplines such as agriculture, geology, soil science, hydrology, ecology, oceanography, forestry, meteorology and climatology, but also for socio-economic disciplines such as human geography, spatial econometrics, epidemiology and spatial planning. The availability of GIS systems and affordable geospatial databases has fuelled the interest in the statistical analysis of geographic data.

The theme, Emerging Patterns in Spatial Statistics will highlight trends on various topics such as ‘new sources of spatial data’, ‘predictive modelling’, ‘disease mapping’, ‘hazards, disasters and risks’, ‘climate change’ and ‘tipping points’.

This is a significant opportunity for you to hear from leading scientists in the field and to network with colleagues in industry and academia to ensure you keep abreast of recent developments in this fast evolving field.

Conference Topics

• Space-time statistics (e.g. point patterns models, estimation methods, large dimensions, scale issues)
• Spatial data quality and uncertainty
• Parameter estimation in PDEs
• Stochastic geometry, tesselation, point processes, random sets
• Spatial econometrics
• New spatial data sources (e.g. big, data, social media, Google, citizen science, crowd source maps)
• Image analyses (e.g. satellite images time series, DNA data, nano particles, nervous systems)
• Predictive modelling
• Tipping points (e.g. sea-level rise, socio-economic shifts)
• Hazards, disasters and risks (e.g. tsunamis, earthquakes, landslides, air pollution levels)
• Global change (e.g. stochastic weather generators)
• Health, medical and epidemiology
• Plant and animal epidemiology (emerging epidemics)
• Ecology (e.g. dispersion, migration, colonisation and invasion of species)

Abstract submission is now closed

Topics

• Space-time statistics (e.g. point patterns models, estimation methods, large dimensions, scale issues)
• Spatial data quality and uncertainty
• Parameter estimation in PDEs
• Stochastic geometry, tesselation, point processes, random sets
• Spatial econometrics
• New spatial data sources (e.g. big, data, social media, Google, citizen science, crowd source maps)
• Image analyses (e.g. satellite images time series, DNA data, nano particles, nervous systems)
• Predictive modelling
• Tipping points (e.g. sea-level rise, socio-economic shifts)
• Hazards, disasters and risks (e.g. tsunamis, earthquakes, landslides, air pollution levels)
• Global change (e.g. stochastic weather generators)
• Health, medical and epidemiology
• Plant and animal epidemiology (emerging epidemics)
• Ecology (e.g. dispersion, migration, colonisation and invasion of species)

Successfully submitted abstracts will be acknowledged with an electronic receipt including an abstract reference number, which should be quoted in all correspondence. Allow at least 2 hours for your receipt to be returned to you.

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

Abstracts of all accepted contributions will be included within the online abstract system which will be distributed to all registered conference participants.

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