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Ryo Inoue and Koichiro Den
Geospatial phenomena often have spatial heterogeneity, which is caused by differences in the data generation process from place to place. There are two types of spatial heterogeneity: continuous and discrete, and there has been much discussion about how ...
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Zhan Peng and Ryo Inoue
Interest in studying the urban real estate market, especially in investigating the relationship between house prices and related housing characteristics, is rapidly growing. However, this increasing attention is handicapped by a limited consideration of ...
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Xiaojian Liu, Ourania Kounadi and Raul Zurita-Milla
Applications of machine-learning-based approaches in the geosciences have witnessed a substantial increase over the past few years. Here we present an approach that accounts for spatial autocorrelation by introducing spatial features to the models. In pa...
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Meijie Chen, Yumin Chen, John P. Wilson, Huangyuan Tan and Tianyou Chu
The COVID-19 pandemic has led to many deaths and economic disruptions across the world. Several studies have examined the effect of corresponding health risk factors in different places, but the problem of spatial heterogeneity has not been adequately ad...
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Yeran Sun, Xuke Hu, Ying Huang and Ting On Chan
To examine to what extent spatial inequalities in childhood obesity are attributable to spatial inequalities in socioeconomic characteristics across a country, we aimed to investigate the spatial associations of socioeconomic characteristics and childhoo...
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Huifang Li, Yumin Chen, Susu Deng, Meijie Chen, Tao Fang and Huangyuan Tan
Logistic regression methods have been widely used for landslide research. However, previous studies have seldom paid attention to the frequent occurrence of spatial autocorrelated residuals in regression models, which indicate a model misspecification pr...
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Michael McCord, Daniel Lo, Peadar Davis, John McCord, Luc Hermans and Paul Bidanset
Prediction accuracy for mass appraisal purposes has evolved substantially over the last few decades, facilitated by the evolution in big data, data availability and open source software. Accompanying these advances, newer forms of geo-spatial approaches ...
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Hyeongmo Koo, Soyoung Lee, Jiyeong Lee and Daeheon Cho
Social distancing is an effective method for controlling the COVID-19 pandemic by decreasing population mobility, but it has also negatively affected local business sales. This paper explores the spatio-temporal impact of population mobility on local bus...
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Xinyu Yu, Man Sing Wong, Mei Po Kwan, Janet Elizabeth Nichol, Rui Zhu, Joon Heo, Pak Wai Chan, David C. W. Chin, Coco Yin Tung Kwok and Zihan Kan
The novel coronavirus disease (COVID-19) has become a public health problem at a global scale because of its high infection and mortality rate. It has affected most countries in the world, and the number of confirmed cases and death toll is still growing...
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Jiaxin Yang, Yumin Chen, Meijie Chen, Fan Yang and Ming Yao
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Yeran Sun, Ying Huang, Ke Yuan, Ting On Chan and Yu Wang
COVID-19 containment policies are not only curbing the spread of COVID-19 but also changing human behavior. According to the routine activity theory, owing to lockdown, the closure of entertainment sites (e.g., pubs and bars), an increase in stay-at-home...
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