500m scale main data of each grid. by Qingxi Shen (3547970)

“…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.…”

1000m scale main data of each grid. by Qingxi Shen (3547970)

“…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.…”

2000m scale main data of each grid. by Qingxi Shen (3547970)

“…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.…”

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

Significant spatial clusters of open defecation practice among households in Ethiopia, EDHS 2016. by Daniel Gashaneh Belay (12334351)

Subjects:

Significant main effect of housing type. by Grace Hecker (18813445)

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Significant interactions and main effects of day. by Grace Hecker (18813445)

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The identified significant high-rate spatial-temporal clusters of new detected leprosy cases in Yunnan, China, 2011–2020. by Xiaohua Chen (257762)

Behaviors with a significant main effect or interaction. by Grace Hecker (18813445)

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Significant clusters of open defecation spatial window in Ethiopia, EDHS 2016 plotted using ArcMap 10.7. by Daniel Gashaneh Belay (12334351)

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Spatial transfer probability matrix for synergy of HER and DIC. by Ying Xie (50016)

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Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood. by Dennis Ochola (11626912)

Model outputs for main Hawaiian Islands analyses. by Rebecca J. Ward (9872202)

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Image_1_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff by Lenin Campozano (8502747)

“…Extreme droughts showed small and statistically non-significant decreases. …”

Image_2_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff by Lenin Campozano (8502747)

“…Extreme droughts showed small and statistically non-significant decreases. …”

Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations. by Dennis Ochola (11626912)

Spatial heterogeneity in the impact of digital financial inclusion on the carbon reduction gap in agricultural regions. by Lingzhi Tan (19146572)

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Increasing and decreasing temperature trends in <i>M</i>. <i>peregrina</i> habitats at 95% confidence level. by Hossein Piri Sahragard (19226096)

The main effects of PRGDP and Gi on SWB. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”