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Yiliang Wan, Yuwen Fei, Rui Jin, Tao Wu and Xinguang He
The effective extraction of impervious surfaces is critical to monitor their expansion and ensure the sustainable development of cities. Open geographic data can provide a large number of training samples for machine learning methods based on remote-sens...
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Chengyi Qu, Xu Xi, Jinglong Du and Tong Wu
Traditional frequency-domain watermarking algorithms for vector geographic data suffer from disadvantages such as the random watermark embedding position, unpredictable embedding strength, and difficulty in resisting multiple attacks at the same time. To...
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Zebang Liu, Luo Chen, Anran Yang, Mengyu Ma and Jingzhi Cao
In the big data era, rapid visualization of large-scale vector data has become a serious challenge in Geographic Information Science (GIS). To fill the gap, we propose HiIndex, a spatial index that enables real-time and interactive visualization of large...
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Qifei Zhou, Na Ren, Changqing Zhu and A-Xing Zhu
Projection transformation is an important part of geographic analysis in geographic information systems, which are particularly common for vector geographic data. However, achieving resistance to projection transformation attacks on watermarking for vect...
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Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu and Feng Wang
In the development of geographic information-based applications for mobile devices, achieving better access speed and visual effects is the main research aim. In this paper, we propose a new geographic data display method based on Geohash, namely Geohash...
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Yingying Wang, Chengsong Yang, Changqing Zhu and Kaimeng Ding
Vector geographic data play an important role in location information services. Digital watermarking has been widely used in protecting vector geographic data from being easily duplicated by digital forensics. Because the production and application of ve...
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Zhi Tang, Yun Zhang, Jing Huang, Hao He and Yue Ding
There is undoubtedly a groundswell of support for the concept of geographic data sharing with the rapid development and wide-ranging application of geographic information science. However, copyright protection and infringement detection in the process of...
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Mayra Salcedo-Gonzalez, Julio Suarez-Paez, Manuel Esteve and Carlos Enrique Palau
This article presents the development of a geo-visualization tool, which provides police officers or any other type of law enforcement officer with the ability to conduct the spatiotemporal predictive geo-visualization of criminal activities in short and...
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Elliott M. Holmes, Andrea E. Gaughan, Donald J. Biddle, Forrest R. Stevens and Jafar Hadizadeh
Core samples obtained from scientific drilling could provide large volumes of direct microstructural and compositional data, but generating results via the traditional treatment of such data is often time-consuming and inefficient. Unifying microstructur...
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Candan Eylül Kilsedar and Maria Antonia Brovelli
The focus of this research is addressing a subset of the geovisualization (i.e., geographic visualization) challenges identified in the literature, namely multidimensional vector and raster geospatial data visualization. Moreover, the work implements an ...
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Yiquan Song, Lei Niu and Yi Li
For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial...
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Claudia Gedrange,Marco Neubert,Sylvia Röhnert
Pág. 53 - 72
Official spatial base data, as provided by the national surveying agencies, offer a high-quality basis for cross-border activities such as spatial planning, infrastructure development, flood risk management and environmental protection. However, these da...
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Marbrisa N. R. das Virgens, Patricia L. Brito, Ricardo Lustosa, Julio Pedrassoli, Philipp Ulbrich, João Porto de Albuquerque, Marcos Rodrigo Ferreira, Fernando G. Severo, Alessandra da S. Figueiredo, Marcel Fantin, Hussein Khalil and Federico Costa
Cartographic resources play a crucial role in facilitating communication across various sectors, including research projects focused on low-income communities. Despite this, some researchers still adhere to colonialist and exploitative approaches. This s...
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Dongge Liu, Tao Wang, Xiaojuan Li, Yeqing Ni, Yanping Li and Zhao Jin
Vector data compression can significantly improve efficiency of geospatial data management, visualization and data transmission over internet. Existing compression methods are either based on information theory for lossless compression mainly or based on...
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Shuang Li
Historical geographic data play an important supporting role in the study of long-term geographic studies, such as climate change, urban expansion and land-use and land-cover change. These data vary in source, format and accuracy and are widely found in ...
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Junbo Yu, Tinghua Ai, Haijiang Xu, Lingrui Yan and Yilang Shen
The consistency of geospatial data is of great significance for the application and updating of geographic information in web maps. Due to the multiple data sources and different temporal versions, the tile web maps usually meet the inconsistency questio...
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Rostislav Netek, Tereza Pohankova, Oldrich Bittner and Daniel Urban
With the rapid development of internet technologies in recent years, the shift from the desktop to the web platform can be seen within geospatial analysis. While analytical tools, such as buffer or clip, are routinely used in desktop environments, WebGIS...
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Grayson R. Morgan, Cuizhen Wang, Zhenlong Li, Steven R. Schill and Daniel R. Morgan
Deep learning techniques are increasingly being recognized as effective image classifiers. Aside from their successful performance in past studies, the accuracies have varied in complex environments, in comparison with the popularly of applied machine le...
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Zhixiong Chen, Yilang Shen, Xinlin Lv, Qiaolin Qin and Xin Chen
To better satisfy user?s needs for the accurate visualization of massive amounts of geographic data, the variable-scale expression of map content based on multilevel data organization has attracted increasing attention. Traditional methods based on vecto...
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Niranga Alahacoon and Mahesh Edirisinghe
Analysis of long-term rainfall trends provides a wealth of information on effective crop planning and water resource management, and a better understanding of climate variability over time. This study reveals the spatial variability of rainfall trends in...
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