ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Spatial Statistics 2015 - International Conference on Spatial Statistics: Emerging Patterns

Date2015-06-09 - 2015-06-12

Deadline2015-02-13

VenueAvignon, France France

Keywords

Websitehttp://www.spatialstatisticsconference.com

Topics/Call fo Papers

Spatial Statistics, which will be held in Avignon, France, from the 9-12 June 2015 under the theme, Emerging Patterns.
Spatial statistics is a rapidly developing field involving the quantitative analysis of spatial data and the statistical modelling of spatial variability and uncertainty.
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.
Abstract submissions are invited on the conference topics below and should be submitted using the online submission system by the 13 February 2015.
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)

Last modified: 2014-09-08 23:06:16