Multi-scale spatiotemporal wetland loss and its critical influencing factors in China determined using innovative grid-based GWR

Ecological Indicators(2023)

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摘要
•Quantified the pace of wetland loss in the past two decades in China.•Assessed the relative importance of factors at both the national and regional levels.•Proposed the grid-based geographically weighted regression computing unified device architecture method to handle large data volumes efficiently.
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关键词
Geographically weighted regression,Drivers of wetland loss,Multi-scale analysis,Spatiotemporal change,Parallel computation,China
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