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Yuyin Chen, Yongqiang Zhang, Jing Tian, Zixuan Tang, Longhao Wang and Xuening Yang
As extreme climate events become more common with global warming, groundwater is increasingly vital for combating long-term drought and ensuring socio-economic and ecological stability. Currently, the mechanism of meteorological drought propagation to gr...
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Haijiao Yang, Jiahua Wei and Kaifang Shi
In the context of climate change, precipitation and runoff in the arid inland basins of northwest China have undergone significant changes. The Qaidam Basin (QB) is a typical highland arid inland area. Understanding the spatial and temporal variations in...
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Yufeng Wang, Xue Chen and Feng Xue
Spatial epidemiology investigates the patterns and determinants of health outcomes over both space and time. Within this field, Bayesian spatiotemporal models have gained popularity due to their capacity to incorporate spatial and temporal dependencies, ...
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Paola Gasbarri, Daniele Accardo, Elisa Cacciaguerra, Silvia Meschini and Lavinia Chiara Tagliabue
Despite the promising outcomes achieved over time in Asset Management, data accessibility, correlation, analysis, and visualization still represent challenges. The integration, readability, and interpretation of heterogeneous information by different sta...
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Tingting Fan, Yuchen Wang, Zhiguo Xu, Lining Sun, Peitao Wang and Jingming Hou
Tsunami monitoring and early warning systems are mainly established to deal with seismogenic tsunamis generated by sudden seafloor fault displacement. However, a global tsunami triggered by the 2022 Tonga volcanic eruption promoted the need for tsunami e...
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Yanan Wu, Yalin Yang and May Yuan
Conventional spatiotemporal methods take frequentist or density-based approaches to map event clusters over time. While these methods discern hotspots of varying continuity in space and time, their findings overlook locations of routine occurrences where...
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Katherine Ho and Rebecca Loraamm
Animal movements are realizations of complex spatiotemporal processes. Central to these processes are the varied environmental contexts in which animals move, which fundamentally impact the movement trajectories of individuals at fine spatial and tempora...
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Jianfei Wang and Wen Cao
In the era of big data, a significant volume of spatiotemporal data exists in a multiscale format, describing diverse phenomena in the objective world across different spatial and temporal scales. While existing methods focus on analyzing the features an...
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Jiemin Zheng, Mingxing Hu, Junheng Qi, Bing Han, Hui Wang and Feifei Xu
With the increasing trend of residents and tourists sharing urban spaces, the boundary between leisure spaces and tourism spaces is gradually being blurred. However, few studies have quantified the spatiotemporal correlation patterns of residents? leisur...
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Xiaomin Jiang, Ziwan Zheng, Ye Zheng and Zhewei Mao
Theft is an inevitable problem in the context of urbanization and poses a challenge to people?s lives and social stability. The study of theft and criminal behavior using spatiotemporal, big, demographic, and neighborhood data is important for guiding se...
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