Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 12
Articles | Volume 13, issue 12
https://doi.org/10.5194/gmd-13-6149-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-6149-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 12
Model description paper
 | 
03 Dec 2020
Model description paper |  | 03 Dec 2020

A spatiotemporal weighted regression model (STWR v1.0) for analyzing local nonstationarity in space and time

Xiang Que, Xiaogang Ma, Chao Ma, and Qiyu Chen

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Latest update: 24 Apr 2024
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Short summary
This paper presents a spatiotemporal weighted regression (STWR) model for exploring nonstationary spatiotemporal processes in nature and socioeconomics. A value change rate is introduced in the temporal kernel, which presents significant model fitting and accuracy in both simulated and real-world data. STWR fully incorporates observed data in the past and outperforms geographic temporal weighted regression (GTWR) and geographic weighted regression (GWR) models in several experiments.
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