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Yuhao He, Qianlong Zhao, Shanqi Sun, Wenjing Li and Waishan Qiu
The COVID-19 outbreak followed by the strict citywide lockdown in Shanghai has sparked negative emotion surges on social media platforms in 2022. This research aims to investigate the spatial?temporal heterogeneity of a unique emotion (helplessness) and ...
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Jeong-Seok Lee, Tae-Hoon Kim and Yong-Gil Park
The increase in maritime traffic and vessel size has strengthened the need for economical and safe maritime transportation networks. Currently, ship path planning is based on past experience and shortest route usage. However, the increasing complexity of...
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Hao Huang, Di Li, Zenglin Han, Hao Zhang, Hongye Wang and Ye Duan
Based on the data of existing warehouse supermarkets in Liaoning Province, China, spatial autocorrelation analysis, kernel density analysis, composite correlation coefficient analysis and other methods have been adopted to analyze their spatial-temporal ...
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Yoon-Ji Kim, Jeong-Seok Lee, Alessandro Pititto, Luigi Falco, Moon-Suk Lee, Kyoung-Kuk Yoon and Ik-Soon Cho
For developing national maritime traffic routes through the coastal waters of Korea, the customary maritime traffic flow must be accurately identified and quantitatively evaluated. In this study, the occupancy time of ships in cells was calculated throug...
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Chengwu Wang, Junjie Luo, Feng Qing, Yong Tang and Yunfei Wang
The Taihang Mountains are an important ecological barrier in China, and their ecosystems have good carbon sink capacity. Studying the spatial-temporal variation characteristics and driving factors of carbon storage in the Taihang Mountains ecosystem prov...
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Zisheng Song
In China, the capitalization of education resources in housing prices has been widely discussed. However, insufficient attention is paid to it in rents. Thus, this paper mainly aims to identify the capitalization of school quality in rents. It estimates ...
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Michael J. Allen, Thomas R. Allen, Christopher Davis and George McLeod
This study evaluates the spatial-temporal patterns in Virginia tornadoes using the National Weather Service Storm Prediction Center?s Severe Weather GIS (SVRGIS) database. In addition to descriptive statistics, the analysis employs Kernel Density Estimat...
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Suyoung Park, Dongryeol Ryu, Sigfredo Fuentes, Hoam Chung, Mark O?Connell and Junchul Kim
There is a growing concern about water scarcity and the associated decline in Australia?s agricultural production. Efficient water use as a natural resource requires more precise and adequate monitoring of crop water use and irrigation scheduling. Theref...
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Chao Jiang, Lin Liu, Xiaoxing Qin, Suhong Zhou and Kai Liu
The importance of combining spatial and temporal aspects has been increasingly recognized over recent years, yet pertinent pattern analysis methods in place-based crime research still need further development to explicitly indicate spatial-temporal local...
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Di Wang, Tomio Miwa and Takayuki Morikawa
The paradigms of taxis and ride-hailing, the two major players in the personal mobility market, are compared systematically and empirically in a unified spatial?temporal context. Supported by real field data from Xiamen, China, this research proposes a t...
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