Welcome to the 5th Spatial Statistics conference, which will be held in Sitges (near to Barcelona), Spain, from 10 – 13 July 2019 under the theme Towards Spatial Data Science.

The conference will bring together leading scientists in the field of spatial statistics to debate and discuss how to make statistically sound decisions and judgments in the domain of spatial data science.

Issues of statistical learning, but also common methods for spatial and spatio-temporal interpolation, stochastic geometry, classifications, tessellation, networks, point processes, random sets, including Bayesian modelling will be presented in the new context of spatial data science.

Conference Topics:
Oral and paper abstracts are now invited on the above topics. They should be submitted using the online abstract submission system.

Methods

Space-time statistics (e.g. geostatistics, point patterns, estimation methods, large dimensions)
New spatial data sources (e.g. social media, Google, citizen science, crowd source maps)
Stochastic geometry, tesselation, point processes, random sets
Causal statistical modeling
Trajectory/movement modeling
Predictive modelling
Spatial data quality and uncertainty
With these methods being applied in a range of relevant domains. For the theme of the conference, we particularly invite contributions in:

Applications

Image analyses (e.g. satellite images)
Traffic and transport
Global change
Ecology (e.g. dispersion, migration, colonisation and invasion of species)
Plant and animal epidemiology e.g. emerging epidemics)
Hazards, disasters and risks (e.g. outbreaks, risk mapping)
Crime
Health, (e.g. epidemiology, geohealth and medical)
Spatial econometrics