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A Robust Improved GTWR Framework for Spatiotemporal Heterogeneity and Outlier Effects: Evidence from Simulation and Applied Case Studies

2026-01-13

Abstract excerpt

<title>Abstract</title> <p>Spatiotemporal data often exhibit strong heterogeneity, where relationships between predictors and responses vary across locations and time. Standard regression frameworks struggle with this non-stationarity, and although the Improved Geographically and Temporally Weighted Regression (I-GTWR) addresses spatiotemporal heterogeneity through localized weighting, its reliance on Least Squar...

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Literature Corpus work
b10eb6a9-6466-5ced-aa42-a2b8f11ffb1b
DOI
10.21203/rs.3.rs-8526387/v1
Open publication

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A Robust Improved GTWR Framework for Spatiotemporal Heterogeneity and Outlier Effects: Evidence from Simulation and Applied Case StudiesDOI 10.21203/rs.3.rs-8526387/v1
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