Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning
Abstract Urban greening plays a crucial role in maintaining environmental sustainability and enhancing people’s well-being.However, limited by the shortcomings of traditional methods, studying the heterogeneity and nonlinearity between environmental factors and green view index (GVI) still faces many challenges.To address the concerns Fusible Wov