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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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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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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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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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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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Ayse Giz Gulnerman and Himmet Karaman
The data generated by social media such as Twitter are classified as big data and the usability of those data can provide a wide range of resources to various study areas including disaster management, tourism, political science, and health. However, apa...
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Qiuyang Dai, Faxing Lu and Junfei Xu
Geodetic coordinate information and attitude information of the observation platform are necessary for multi-UAV position alignment and target tracking. In a complex sea environment, the navigation equipment of a UAV is susceptible to interference. High-...
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Sai Huang, Yuqing Chai, Shanchuan Ying, Shuo Chang and Nan Xia
With the strengths of quickness, low cost, and adaptability, unmanned aerial vehicle (UAV) communication is widely utilized in the next-generation wireless network. However, some risks and hidden dangers such as UAV ?black flight? disturbances, attacks, ...
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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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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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Dmitry Pavlyuk
Transfer learning is a modern concept that focuses on the application of ideas, models, and algorithms, developed in one applied area, for solving a similar problem in another area. In this paper, we identify links between methodologies in two fields: vi...
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Junli Liu, Miaomiao Pan, Xianfeng Song, Jing Wang, Kemin Zhu, Runkui Li, Xiaoping Rui, Weifeng Wang, Jinghao Hu and Venkatesh Raghavan
Vehicle trajectories derived from Global Navigation Satellite Systems (GNSS) are used in various traffic applications based on trajectory quality analysis for the development of successful traffic models. A trajectory consists of points and links that ar...
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Maria Simona Raboaca, Catalin Dumitrescu, Constantin Filote and Ioana Manta
Although there are many methods in the literature to eliminate noise from images, finding new methods remains a challenge in the field and, despite the complexity of existing methods, many of the methods do not reach a sufficient level of applicability, ...
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Rodolfo Metulini, Roberto Patuelli and Daniel A. Griffith
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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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John Byabazaire, Gregory M. P. O?Hare, Rem Collier, Chamil Kulatunga and Declan Delaney
Smart agriculture relies on accurate yield maps as a crucial tool for decision-making. Many yield maps, however, suffer from spatial errors that can compromise the quality of their data, while several approaches have been proposed to address some of thes...
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Charikleia Gournia, Elias Fakiris, Maria Geraga, David P. Williams and George Papatheodorou
Bottom trawl footprints are a prominent environmental impact of deep-sea fishery that was revealed through the evolution of underwater remote sensing technologies. Image processing techniques have been widely applied in acoustic remote sensing, but accur...
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Jiaxin Yang, Yumin Chen, Meijie Chen, Fan Yang and Ming Yao
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Christoph Reichert, Stefan Dürschmid, Rudolf Kruse and Hermann Hinrichs
Brain?computer interfacing (BCI) is a promising technique for regaining communication and control in severely paralyzed people. Many BCI implementations are based on the recognition of task-specific event-related potentials (ERP) such as P300 responses. ...
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