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Yijiang Zhao, Xiao Tang, Zhuhua Liao, Yizhi Liu, Min Liu and Jian Lin
Building type prediction is a critical task for urban planning and population estimation. The growing availability of multi-source data presents rich semantic information for building type prediction. However, existing residential building prediction met...
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Furong Jiang and Zhaoning Zhang
The civil aviation industry is experiencing significant growth in air traffic density within terminal areas, necessitating improved air traffic efficiency. In China?s pursuit of world-class airport clusters, operational complexities arise due to the co-l...
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Jinyu Guo and Lizhen Wang
The goal of spatial co-location pattern mining is to find subsets of spatial features whose instances are often neighbors in a geographical space. In many practical cases, instances of spatial features contain not only spatial location information but al...
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Muquan Zou, Lizhen Wang, Pingping Wu and Vanha Tran
A co-location pattern is a set of spatial features whose instances are frequently correlated to each other in space. Its mining models always consist of two essential steps. One step is to generate neighbor relationships between spatial instances, and an...
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Yan Zhou, Xuan Shen, Chen Wang, Yixue Liao and Junli Li
There is a Chinese proverb which states ?Where there are Shaxian Snacks, there are generally Lanzhou Ramen nearby?. This proverb reflects the characteristics of spatial clustering in the catering industry. Since the proverbs are rarely elucidated from th...
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Robert Maxwell Tullberg, Huu Phu Nguyen and Chien Ming Wang
This study provides an overview of both traditional nearshore seaweed farming infrastructure and more recent developments intended for large scale farming in more exposed coastal waters where nutrient supply may be a limiting factor. The success of multi...
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Dianwu Fang, Lizhen Wang, Jialong Wang and Meijiao Wang
A spatial co-location pattern denotes a subset of spatial features whose instances frequently appear nearby. High influence co-location pattern mining is used to find co-location patterns with high influence in specific aspects. Studies of such pattern m...
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Anke Bender, Olivia Langhamer, Markus Molis and Jan Sundberg
Past studies have revealed higher levels of biodiversity, total abundance, and size of individuals around offshore installations of renewable energy. This study investigated the effects of Lysekil wave power park (area 0.5 km2) on the abundance and carap...
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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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Brian J. Stanton and Richard R. Gustafson
A bioenergy summit was organized by Advanced Hardwood Biofuels Northwest (AHB) to debate the barriers to the commercialization of a hybrid poplar biofuels industry for the alternative jet fuels market from the perspective of five years of AHB research an...
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