Monday, 17 February 2014

Columbus IJ (Hyatt Regency Chicago)

There are large literatures on statistical methods for processes observed over

time (time series analysis) and processes observed over space (spatial

statistics). Proper statistical methods for environmental processes in

space-time require more than just combining approaches from time series

and spatial statistics, particularly on time scales on which dynamics of the

process are relevant, yielding complex spatio-temporal interactions. This

talk discusses some approaches for addressing these challenges, including

the development of models, estimation methods for the parameters of these

models and diagnostics for assessing the appropriateness of spatio-temporal

models. These issues will be explored in the context of measurements taken

from sun-synchronous polar-orbiting satellites, which are commonly used for

environmental monitoring and which create specific difficulties related to

the fact that observations from such a satellite are concentrated near noon

local time.

time (time series analysis) and processes observed over space (spatial

statistics). Proper statistical methods for environmental processes in

space-time require more than just combining approaches from time series

and spatial statistics, particularly on time scales on which dynamics of the

process are relevant, yielding complex spatio-temporal interactions. This

talk discusses some approaches for addressing these challenges, including

the development of models, estimation methods for the parameters of these

models and diagnostics for assessing the appropriateness of spatio-temporal

models. These issues will be explored in the context of measurements taken

from sun-synchronous polar-orbiting satellites, which are commonly used for

environmental monitoring and which create specific difficulties related to

the fact that observations from such a satellite are concentrated near noon

local time.