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Activity Number: 178 - Contributed Poster Presentations: Royal Statistical Society
Type: Contributed
Date/Time: Monday, July 31, 2017 : 10:30 AM to 12:20 PM
Sponsor: Royal Statistical Society
Abstract #323066
Title: Analysis of Spatially Correlated Functional Data Objects
Author(s): Salihah Alghamdi*
Keywords: Functional data analysis ; Spatial correlation ; space-time data

Dataset observed over space and time are becoming increasingly abundant and researchers use methods ranging from spatially correlated time series to functional data analysis. There exist a host of methods for modelling using spatially correlated functional data analysis techniques, most of which were motivated by the specific application areas. However, there does not exist any clear pathway to determining the best methodology for a new application. This motives us to present a flow chart of the expected process that one should follow when analysing space-time data. We will demonstrate the use of this framework using a case study, which models the vegetation index of Harvard forest.

Authors who are presenting talks have a * after their name.

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