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Xuejie Zhang, Jinli Zhao, Haimeng Liu, Yi Miao, Mengcheng Li and Chengxin Wang
The emergence and enduring diffusion of COVID-19 has had a dramatic impact on cities worldwide. The scientific aim of this study was to introduce geospatial thinking to research related to infectious diseases, while the practical aim was to explore the i...
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Mengxiao Liu, Yong Ge, Shan Hu and Haiguang Hao
Recognizing the spatial effects of regional poverty is essential for achieving sustainable poverty alleviation. This study investigates these spatial effects and their determinants across three distinct administrative levels within Hubei Province, China....
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Xinyu Qu, Xinyan Zhu, Xiongwu Xiao, Huayi Wu, Bingxuan Guo and Deren Li
Some studies on the impact of traditional land use factors on traffic crashes do not take into account the limitations of spatial heterogeneity and spatial scale. To overcome these limitations this study presents a systematic method based on multi-scale ...
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Taylor M. Oshan, Ziqi Li, Wei Kang, Levi J. Wolf and A. Stewart Fotheringham
Geographically weighted regression (GWR) is a spatial statistical technique that recognizes that traditional ?global? regression models may be limited when spatial processes vary with spatial context. GWR captures process spatial heterogeneity by allowin...
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