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Activity Number: 264
Type: Contributed
Date/Time: Monday, August 10, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract #316281
Title: Inverse Distance-Weighted Interpolation for Spatio-Temporal Data
Author(s): Robert Waken* and Soohyun Kwon and GyuWon Lee and Joon Jin Song
Companies: and Kyungpook National University and Kyungpook National University and Baylor University
Keywords: spatiotemporal ; inverse distance weighting ; spatial interpolation ; robust
Abstract:

Inverse Distance Weighting (IDW) is often implemented for spatial interpolation due to its simplicity and robustness to non-normal data. However, this method produces poor results for prediction applications and is not feasible for spatio-temporal data. We propose spatio-temporal interpolation based on regression based inverse distance weighting (RIDW) by Kang and Joseph (2012), and compare it to kriging with external drift (KED) using rainfall data.

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

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