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Discovering optimally representative dynamical locations (ORDL) in big multivariate spatiotemporal data: A case study of precipitation in Australia from space to ground sensors
How does the World Bank shape global environmental governance agendas for coasts? 50 years of small-scale fisheries aid reveals paradigm shifts over time
Investigating the causal effects of anthropogenic factors on urban streams and lakes water quality by integrating causal inference with interpretable machine learning
Causal inference approaches reveal both positive and negative unintended effects of agricultural and urban management practices on instream biological condition
Poverty Reduction Effect of New-Type Agricultural Cooperatives: An Empirical Analysis Using Propensity Score Matching and Endogenous Switching Regression Models
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