Search alternatives:
significant models » significant degs (Expand Search), significant burdens (Expand Search), significant genes (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search)
models based » model based (Expand Search)
significant models » significant degs (Expand Search), significant burdens (Expand Search), significant genes (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search)
models based » model based (Expand Search)
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Spatial Dubin panel model estimation results.
Published 2024“…It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.…”
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500m scale main data of each grid.
Published 2023“…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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1000m scale main data of each grid.
Published 2023“…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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2000m scale main data of each grid.
Published 2023“…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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Model selection based on best fit.
Published 2025“…We utilized geo-covariate data from the Demographic and Health surveys (DHS) program, applying a Moran’s I test for spatial autocorrelation, a geostatistical Bayesian-based model to predict malaria incidence at an unsampled locations, and calculated the percentage change in predicted incidence over a ten-year interval. …”
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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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Spatial econometric model estimation results.
Published 2025“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”
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Spatial distribution of the seasonal grassland NPP in the Qilian mountains from 2010 to 2015.
Published 2024Subjects: -
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Spatial distribution of the monthly grassland NPP in the Qilian mountains from 2010 to 2015.
Published 2024Subjects: -
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