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- W2903845920 abstract "Ecosystem health is an important aspect for a country, dynamic but difficult to be evaluated. In this study, we designed a framework of indices to assess the ecosystem health and conduct a case study in Wuhan. The Geographically weighted regression technique is used to explore the spatially varying relationships between ecosystem health indices and associated factors. Results indicate that the ecosystem health condition of each subdistrict in Wuhan varies spatially, and surrounding areas are generally better than those subdistricts in the center. It is affected by different factors of distinctive degrees across the study area, like urbanization influenced the local ecosystem health more in city center than in suburb." @default.
- W2903845920 created "2018-12-22" @default.
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- W2903845920 date "2018-06-01" @default.
- W2903845920 modified "2023-09-25" @default.
- W2903845920 title "Assessment and Spatially Varying Causes Exploration of Ecosystem Health: A Case Study of Wuhan, China" @default.
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- W2903845920 doi "https://doi.org/10.1109/geoinformatics.2018.8557065" @default.
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