Estimation results of spatial Durbin panel data model. by Yuanzhi Guo (16624797)

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

Spatial distribution of rainfall using Inverse Distance Weighted Interpolation (IDWI). by Menbere Sahilu (18195856)

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

Spatial MTPM for the CCD of EEC and RPH. by Qian Xie (43047)

“…<div><p>As industrial technologies advance, climate change and environmental pollution increasingly pose threats to human health. This study examines the coupling coordination characteristics between ecological environmental civilization (EEC) and resident public health (RPH) to promote both higher public health standards and enhanced societal sustainability. …”

Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

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Estimation results of spatial Durbin panel data model by regions. by Yuanzhi Guo (16624797)

Spatial distribution of average temperature and long-term trend from 2001 to 2020. by Wang Runke (13256851)

Spatial patterns of LUC in 2035 different scenarios. by Bao Zhou (20670850)

Average annual change, 95% confidence interval and significance for sum concentrations of different compound groups. by Matti Viluksela (321291)

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Provincial spatial distribution of physical capital in 2019. by Yuanquan Lu (17125093)

Provincial spatial distribution of subjective poverty in 2019. by Yuanquan Lu (17125093)

Provincial spatial distribution of human capital in 2019. by Yuanquan Lu (17125093)

Provincial spatial distribution of social capital in 2019. by Yuanquan Lu (17125093)

Provincial spatial distribution of financial capital in 2019. by Yuanquan Lu (17125093)

Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1. by Udaysankar Chockanathan (18510288)

“…<p>(A) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.134 ± 0.050, APP/PS1 = 0.132 ± 0.054, p < 0.01, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 229 units from 5 recording sessions, n_APP/PS1 = 124 units from 4 recording sessions). …”

The spatial distribution of ozone concentration in China’s provinces in 2015 and 2019. by Li-Min Wang (783263)

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High resolution spatial mapping of dominant frequency. by Terrence Pong (511730)

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Local spatial autocorrelation of ecological risk in the Engebei. by Jie Zhang (64655)

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Provincial spatial distribution of public service supply in 2019. by Yuanquan Lu (17125093)