A Survey on Spatial and Spatiotemporal Interpolation

PhD Qualifying Examination


Title: "A Survey on Spatial and Spatiotemporal Interpolation"

by

Miss Jia LI


Abstract:

Spatial interpolation is a widely studied task in many fields, such as climate
science, water science, and geography, which aims to estimate the values for
any target location based on known locations with observations. However,
obtaining accurate interpolation results is a nontrivial task due to the
complex and unknown spatial relations between geographical locations. The
performance of traditional spatial interpolation techniques was limited by
subjective assumptions and pre-set formulations, which do not hold in
non-linear real-world situations. To overcome the limitations, machine learning
and neural network-based methods have been proposed recently. Despite recent
developments in spatiotemporal deep learning, little attention has been paid to
spatial interpolation. In this survey, we present a thorough review of existing
spatial interpolation methods, and introduce spatiotemporal extensions of
methods. Finally, we summarize the real-world applications and discuss
potential future research directions for spatial and spatiotemporal
interpolation.


Date:                   Friday, 3 November 2023

Time:                   10:00am - 12:00noon

Venue:                  Room 3598
                        lifts 27/28

Committee Members:      Prof. Lei Chen (Supervisor)
                        Prof. Xiaofang Zhou (Chairperson)
                        Dr. Dan Xu
                        Prof. Ke Yi


**** ALL are Welcome ****