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Manar M. F. Donia, Wessam H. El-Behaidy and Aliaa A. A. Youssif
The study of human behaviors aims to gain a deeper perception of stimuli that control decision making. To describe, explain, predict, and control behavior, human behavior can be classified as either non-aggressive or anomalous behavior. Anomalous behavio...
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Dengpan Li, Lei Tian, Mingyang Li, Tao Li, Fang Ren, Chunhong Tian and Ce Yang
Exploring the temporal and spatial changes, as well as driving factors, of net primary productivity (NPP) of terrestrial ecosystems is essential for maintaining regional carbon balance. This work focuses on the spatiotemporal variation and future trends ...
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Yusi Liu, Xiang Gao, Disheng Yi, Heping Jiang, Yuxin Zhao, Jun Xu and Jing Zhang
Massive taxi trajectory data can be easily obtained in the era of big data, which is helpful to reveal the spatiotemporal information of human travel behavior but neglects activity semantics. The activity semantics reflect people?s daily activities and t...
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Hyoung-Gook Kim, Dong-Ki Jeong and Jin-Young Kim
The brain is more sensitive to stress than other organs and can develop many diseases under excessive stress. In this study, we developed a method to improve the accuracy of emotional stress recognition using multi-channel electroencephalogram (EEG) sign...
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Anqi Wang, Anshu Zhang, Edwin H. W. Chan, Wenzhong Shi, Xiaolin Zhou and Zhewei Liu
Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, i...
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Shaojun Liu, Yi Long, Ling Zhang and Hao Liu
Data-driven urban human activity mining has become a hot topic of urban dynamic modeling and analysis. Semantic activity chain modeling with activity purpose provides scientific methodological support for the analysis and decision-making of human behavio...
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Enrique Morales-Acuña, Jean R. Linero-Cueto and Fausto A. Canales
Adequate water resources management includes understanding patterns and spatiotemporal variability of precipitation, as this variable is determinant for ecosystems? stability, food security, and most human activities. Based on satellite estimations valid...
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Wenwen He and Fu Ren
Human-flow pattern can reflect the urban population mobility and the urban operating state. Understanding the trajectory of urban-population moving patterns can improve the effectiveness of urban-management measures. While most of the existing studies on...
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Yuling Ruan, Yanhong Zou, Minghui Chen and Jingya Shen
Urban area hotspots are considered to be an ideal proxy for spatial heterogeneity of human activity, which is vulnerable to urban expansion. Nighttime light (NTL) images have been extensively employed in monitoring current urbanization dynamics. However,...
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Jian Liu, Bin Meng, Juan Wang, Siyu Chen, Bin Tian and Guoqing Zhi
The use of social media data provided powerful data support to reveal the spatiotemporal characteristics and mechanisms of human activity, as it integrated rich spatiotemporal and textual semantic information. However, previous research has not fully uti...
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