Explainable ML and GWR map rural-green agriculture coupling in China
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Sep 27, 2026
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599c3120-4f93-413d-83eb-c28bd0358634
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【学术研究】On 31-province panel data from 2012 to 2020, coupling coordination climb
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社会观察
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On 31-province panel data from 2012 to 2020, coupling coordination climbs from low-level imbalance toward moderate-to-high coordination, with the east and center pulling ahead of the west as clustering sharpens. Its dual-lens framework pairs SHAP for nonlinear threshold effects with GWR for spatial heterogeneity, flagging financial services and rural infrastructure as the strongest drivers, both with clear thresholds.
推荐原因：You work with spatial models like SDM, and the pairing here takes on the two things those models often miss, on a rural question close to your digital-economy research.
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