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Mohammad Naser Lessani, Jiqiu Deng and Zhiyong Guo
Multiple geographical feature label placement (MGFLP) is an NP-hard problem that can negatively influence label position accuracy and the computational time of the algorithm. The complexity of such a problem is compounded as the number of features for la...
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Fuyu Lu, Jiqiu Deng, Shiyu Li and Hao Deng
Label placement is a difficult problem in automated map production. Many methods have been proposed to automatically place labels for various types of maps. While the methods are designed to automatically and effectively generate labels for the point, li...
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Pengcheng Liu and Jia Xiao
This paper proposes a method to evaluate the level of detail (LoD) of geographic features on digital maps and assess their LoD consistency. First, the contour of the geometry of the geographic feature is sketched and the hierarchy of its graphical units ...
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Zhewei Liu, Xiaolin Zhou, Wenzhong Shi and Anshu Zhang
Detecting events using social media data is important for timely emergency response and urban monitoring. Current studies primarily use semantic-based methods, in which “bursts” of certain semantic signals are detected to identify emerging ev...
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Sihan Ni, Zhongyi Wang, Yuanyuan Wang, Minghao Wang, Shuqi Li and Nan Wang
Geographically neural network weighted regression is an improved model of GWR combined with a neural network. It has a stronger ability to fit nonlinear functions, and complex geographical processes can be modeled more fully. GNNWR uses the distance metr...
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Yao Zhao, Guangxia Wang, Jian Yang, Lantian Zhang and Xiaofei Qi
The geographical feature extraction of historical maps is an important foundation for realizing the transition from human map reading to machine map reading. The current methods for building block extraction from historical maps have many problems, such ...
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Burak Ekim, Elif Sertel and M. Erdem Kabadayi
Scanned historical maps are available from different sources in various scales and contents. Automatic geographical feature extraction from these historical maps is an essential task to derive valuable spatial information on the characteristics and distr...
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Eslam A. Hussein, Christopher Thron, Mehrdad Ghaziasgar, Antoine Bagula and Mattia Vaccari
Predicting groundwater availability is important to water sustainability and drought mitigation. Machine-learning tools have the potential to improve groundwater prediction, thus enabling resource planners to: (1) anticipate water quality in unsampled ar...
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Esther Beltrán-Yanes, Javier Dóniz-Páez and Isabel Esquivel-Sigut
The Chinyero Special Nature Reserve is located on the NW rift zone of Tenerife, between 600 and 1500 m above sea level. This natural setting is distinguished by a significant concentration of monogenetic basaltic volcanoes that have erupted in recent and...
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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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Lianlian He, Hao Li and Rui Zhang
Recent advances in knowledge graphs show great promise to link various data together to provide a semantic network. Place is an important part in the big picture of the knowledge graph since it serves as a powerful glue to link any data to its georeferen...
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Lingzhi Yin and Yafei Wang
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...
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Noboru Abe, Kohei Kuroda, Yosuke Kamata and Shogo Midoritani
Appropriate place labels, which provide the name or attribute of a graphical feature, are important in geographical information systems and cartography. Herein, an internal label placement method was proposed for area features, such as cities, prefecture...
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Hang Fan, Xuemin Zhang, Shengwei Mei, Kunjin Chen and Xinyang Chen
Ultra-short-term wind power prediction is of great importance for the integration of renewable energy. It is the foundation of probabilistic prediction and even a slight increase in the prediction accuracy can exert significant improvement for the safe a...
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Giao N. Pham, Son T. Ngo, Anh N. Bui, Dinh V. Tran, Suk-Hwan Lee and Ki-Ryong Kwon
In recent years, GIS (Geographical Information System) vector maps are widely used in everyday life, science, and the military. However, the production process of vector maps is expensive, and a large volume of vector map data is easily stolen and illega...
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Hong Xu, Haozun Sun, Lubin Wang, Xincan Yu and Tianyue Li
The visual quality and spatial distribution of architectural styles represent a city?s image, influence inhabitants? living conditions, and may have positive or negative social consequences which are critical to urban sensing and designing. Conventional ...
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Zihan Liu, Hongming Zhang, Liang Dong, Zhitong Sun, Shufang Wu, Biao Zhang, Linlin Yuan, Zhenfei Wang and Qimeng Jia
The positive and negative terrains (P?N terrains) of the Loess Plateau of China are important geographical topography elements for measuring the degree of surface erosion and distinguishing the types of landforms. Loess shoulder-lines are an important te...
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Rafael Ramírez Eudave, Daniel Rodrigues, Tiago Miguel Ferreira and Romeu Vicente
The characterisation of the seismic vulnerability of historical constructions represents a complex problem in which the typological variability, the difficulty of performing reliable large-scale assessments and dealing with a large database all play a ro...
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Aristeidis Karras, Christos Karras, Spyros Sioutas, Christos Makris, George Katselis, Ioannis Hatzilygeroudis, John A. Theodorou and Dimitrios Tsolis
This study explores the design and capabilities of a Geographic Information System (GIS) incorporated with an expert knowledge system, tailored for tracking and monitoring the spread of dangerous diseases across a collection of fish farms. Specifically t...
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Haizhao Zhang, Zizhong Shi, Hui Zhou and Xiangdong Hu
Pork is a principal component of the food supply for residents in China, acting as a primary source of animal protein. Analyzing the factors affecting pork consumption among rural Chinese residents is critical for understanding trends in the pig market a...
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