Multi-scale spatiotemporal wetland loss and its critical influencing factors in China determined using innovative grid-based GWR
Ecological Indicators(2023)
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.
更多查看译文
关键词
Geographically weighted regression,Drivers of wetland loss,Multi-scale analysis,Spatiotemporal change,Parallel computation,China
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要