Spatiotemporally weighted regression (STWR) for assessing Lyme disease and landscape fragmentation dynamics in Connecticut towns

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Zhe Wang, Xiang Que, Meifang Li, Zhuoming Liu, Xun Shi, Xiaogang Ma, Chao Fan, Yan Lin

Published: 01 Jan 2024, Last Modified: 17 Sept 2025Ecol. Informatics 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•An innovative data-driven framework was proposed for variable filtering.•The significant patterns in the STWR results help identify heterogeneities in Lyme disease transmission.•STWR model is highly flexible in the spatiotemporal variation of data.•The synergy between data-driven and model-driven techniques unlocks new insights and explores latent relationships.