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Representing the Spatiotemporal State Evolution of Geographic Entities as a Multi-Level Graph
The geographic knowledge graph offers a structured framework for mining and discovering spatiotemporal knowledge, which is of great significance for understanding geographic dynamics.
Feng Yuan +4 more
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Properly understanding the evolution mechanisms of groundwater storage anomaly (GWSA) is the basis of making effective groundwater management strategies.
Xiaowei Zhao +7 more
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Water wells are very important in the history of human development. The identification of spatiotemporal patterns of ancient water wells is a key to understanding the relationship between ancients and water, the evolution of ancient settlement patterns ...
Hongyun Zeng +5 more
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A Spatiotemporal Brain Network Analysis of Alzheimer’s Disease Based on Persistent Homology
Current brain network studies based on persistent homology mainly focus on the spatial evolution over multiple spatial scales, and there is little research on the evolution of a spatiotemporal brain network of Alzheimer’s disease (AD).
Jiacheng Xing +4 more
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Air pollution is the result of comprehensive evolution of a dynamic and complex system composed of emission sources, topography, meteorology and other environmental factors. The establishment of spatiotemporal evolution model is of great significance for
Yang Liu +5 more
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Spatiotemporal studies of landscape pattern evolution in traditional villages are beneficial for addressing complex urbanization and global climate change.
Lili Liu +5 more
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Characterizing and forecasting coastal water quality and spatiotemporal evolution should be significant to coastal ecosystem management. However, high-quality modeling coastal water quality and their spatiotemporal evolutions is rather challenging due to
Tianan Deng +2 more
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Dense shale oil and gas extraction activities have a long history in the Marcellus Shale and the investigation of their evolution draws increasing interest.
Yang Liu
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Land surface temperature (LST) is closely associated with urban and rural development. To study the spatiotemporal evolution of the LST, we used daily night light and LST data as well as the gravity model, coupling coordination model, standard deviation ...
Qiang Fan +3 more
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Delving into the spatiotemporal evolution of the railway network in different periods can provide guidance and reference for the planning and layout of the railway network. However, most of the existing studies tended to model the railway data separately
Lingzhi Yin, Yafei Wang
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