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Minghao Liu, Qingxi Luo, Jianxiang Wang, Lingbo Sun, Tingting Xu and Enming Wang
Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth?s surface over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource management, contributing to the sustainable use of land, and maintaining...
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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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Purwanto Purwanto, Sugeng Utaya, Budi Handoyo, Syamsul Bachri, Ike Sari Astuti, Kresno Sastro Bangun Utomo and Yulius Eka Aldianto
In this research, we analyzed COVID-19 distribution patterns based on hotspots and space?time cubes (STC) in East Java, Indonesia. The data were collected based on the East Java COVID-19 Radar report results from a four-month period, namely March, April,...
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Qing Zhu, Meite Chen, Bin Feng, Yan Zhou, Maosu Li, Zhaowen Xu, Yulin Ding, Mingwei Liu, Wei Wang and Xiao Xie
Massive spatiotemporal data scheduling in a cloud environment play a significant role in real-time visualization. Existing methods focus on preloading, prefetching, multithread processing and multilevel cache collaboration, which waste hardware resources...
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Yicheng Tang, Xinyan Zhu, Wei Guo, Ling Wu and Yaxin Fan
As a major social issue during urban development, crime is closely related to socioeconomic, geographic, and environmental factors. Traditional crime prediction models reveal the spatiotemporal dynamics of crime risks, but usually ignore the environmenta...
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Lei Ding, Kun-Lun Chen, Ting Liu, Sheng-Gao Cheng and Xu Wang
Spatial-temporal hotspot pattern analysis of environmental pollution incidents provides an indispensable source of information for the further development of incident prevention measures. In this study, the spatial-temporal patterns of environmental poll...
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