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Jiaqi Zhao, Baiyi Zong and Ling Wu
Based on a study of the spatial distribution of coffee shops in the main urban area of Beijing, the main influencing factors were selected based on the multi-source space data. Subsequently, three regression models were compared, and the best site select...
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Benjamin Burrichter, Julian Hofmann, Juliana Koltermann da Silva, Andre Niemann and Markus Quirmbach
This study presents a deep-learning-based forecast model for spatial and temporal prediction of pluvial flooding. The developed model can produce the flooding situation for the upcoming time steps as a sequence of flooding maps. Thus, a dynamic overview ...
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Ying Zhao, Huige Sun, Jingrui Tang, Ying Li, Zhihao Sun, Zhe Tao, Liang Guo and Sheng Chang
Surface water is a vital resource for human survival. However, economic and social development has resulted in significant pollutants from human activities, causing environmental pollution in watersheds. This pollution has had a profound impact on the su...
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Bingbing Zhao, Xiaoyong Tan, Liang Luo, Min Deng and Xuexi Yang
The inefficient use of urban resources and the imbalance of spatial structures make optimizing land use management a top priority in urban environmental management. Traditional land use classification systems that prioritize only natural features while d...
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Yihao Sun, Han Hu, Yawen Han, Ziyan Wang and Xiaodi Zheng
Many cities worldwide have large amounts of industrial vacant land (IVL) due to development and transformation, posing a growing problem. However, the large-scale identification of IVL is hindered by obstacles such as high cost, high variability, and clo...
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