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)

Spatial autocorrelation analysis of HIV seropositivity among women in Ethiopia. by Tegene Atamenta Kitaw (17930374)

Local spatial autocorrelation clusters (LISA). by Rodney Plat (16052831)

Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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Analyse vehicle–pedestrian crash severity at intersection with data mining techniques by Siying Zhu (459098)

“…The ANN model which has the best performance is selected to determine the most significant contributing factors to the fatal and severe crashes, and the marginal effects of these factors are also analysed. …”

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

Join-point regression analysis of the severity of road traffic accidents in Shandong Province from 2001 to 2019. by Tao Wang (12008)

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Fitting trend chart of Join-point regression model for mortality rate and case fatality rate in Shandong Province from 2001 to 2019. by Tao Wang (12008)

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