A0815
Title: On smoothing for spatial functional data
Authors: Yoshikazu Terada - Osaka University; RIKEN (Japan) [presenting]
Hidetoshi Matsui - Shiga University (Japan)
Abstract: With the recent advances in measurement technology, it has become easier to acquire spatiotemporal data, and the importance of analyzing spatiotemporal data is increasing in various fields. The smoothing (or interpolation) problem in spatial functional data is considered. Firstly, a unified view of the existing basis expansion approaches is provided. Then, a new, simple smoothing procedure for spatial functional data is proposed. The proposed method adopts spatial regularization for the basis coefficients, which induces both spatial and temporal smoothness. The proposed method's performance is compared with existing methods through numerical experiments.
