Search alternatives:
significant spatial » significant potential (Expand Search), significant negative (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search), small decrease (Expand Search)
longer decrease » linear decrease (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
significant spatial » significant potential (Expand Search), significant negative (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search), small decrease (Expand Search)
longer decrease » linear decrease (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
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Spatial variation of water availability in Hebi.
Published 2024“…The results indicate that: (1) During the study period, the overall land use type in Hebi City has been constantly changing, with the most significant conversion from arable land to other land types; combined with its landscape pattern index, Hebi City has a general characteristic of significant landscape fragmentation and complexity in land use. (2) Habitat quality in Hebi shows an overall trend towards better development, with water availability decreasing and then increasing; the zoning of ecosystem services in Hebi is divided into three classes: superior, good and general, with the area covered by the superior and general classes expanding year by year. (3) Correlation analysis by SPSS software shows that the correlation between habitat quality and landscape pattern index is greater than the correlation between habitat quality and climate change. …”
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Spatial distribution of ESs.
Published 2025“…In future scenarios, the SDG index increases in the southern part while decreasing in the eastern part, indicating significant differences in regional sustainable development potential. …”
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Percentage of significant variation trend of NDVI in the nine divisions in Northeast China.
Published 2022Subjects: -
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Spatial-temporal evolution of logistics resilience in the Yangtze River Economic Belt.
Published 2024Subjects: -
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Detailed information of the observation datasets.
Published 2025“…Generally speaking, there is no clear linear relationship between scores and the other variables. On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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General technical specification for GW154/6700.
Published 2025“…Generally speaking, there is no clear linear relationship between scores and the other variables. On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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