Revealing intricacies in spatial and spatio-temporal data with statistics

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Spatial statistics is a rapidly developing field which involves 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 aim of the meeting is to present interdisciplinary research where applicability in other disciplines is a central core concept.

Call for Papers – Submit Abstract here: deadline February 25th 2013

 

 

Topics list including but not limited to

agriculture
ecology
environmental science
forestry
geography and geospatial information science
geology
hydrology
meteorology and climatology
oceanography
official/government data
soil science
spatial econometrics
spatial epidemiology
spatial planning

select one and it will be used for session topics

Spatial dimensions of survey nonresponse
Massive spatial and space-time datasets and data mining
Small area estimation and handling missing spatial and space-time data
Spatial and space-time sampling and monitoring networks
Combining deterministic and stochastic models for spatial and space-time processes
Spatial and space-time modeling of non-Gaussian (e.g., categorical) and non-stationary data
Analysis of spatial and spatio-temporal extremes
Model-based geostatistics
Point pattern analysis
Multivariate spatial statistics
Teaching spatial statistics

To submit a session proposal for the Spatial Statistics 2013, click here.