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Jingtao Sun, Jin Qi, Zhen Yan, Yadong Li, Jie Liang and Sensen Wu
The COVID-19 pandemic has had a profound impact on people?s lives, making accurate prediction of epidemic trends a central focus in COVID-19 research. This study innovatively utilizes a spatiotemporal heterogeneity analysis (GTNNWR) model to predict COVI...
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Zimo Wang, Yicheng Wang, Sensen Wu and Zhenhong Du
Confronted with the spatial heterogeneity of the real estate market, some traditional research has utilized geographically weighted regression (GWR) to estimate house prices. However, its predictive power still has some room to improve, and its kernel fu...
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Bing Yang, Sensen Wu and Zhen Yan
Food security has been one of the greatest global concerns facing the current complicated situation. Among these, the impact of climate change on agricultural production is dynamic over time and space, making it a major challenge to food security. Taking...
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Chengkun Zhang, Liuchang Xu, Zhen Yan and Sensen Wu
Points-of-interest (POIs) are an important carriers of location text information in smart cities and have been widely used to extract and identify urban functional regions. However, it is difficult to model the relationship between POIs and urban functio...
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Jingtao Sun, Sensen Wu, Zhen Yan, Yadong Li, Cheng Yan, Feng Zhang, Renyi Liu and Zhenhong Du
Hand, foot, and mouth disease (HFMD) is an epidemic infectious disease in China. Its incidence is affected by a variety of natural environmental and socioeconomic factors, and its transmission has strong seasonal and spatial heterogeneity. To quantify th...
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Liang Cheng, Sensen Chu, Wenwen Zong, Shuyi Li, Jie Wu and Manchun Li
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