Geospatial Data Processing, Mining and Application

Dear Colleagues,

Geospatial data have become a critical resource for understanding, analyzing, and solving complex spatial phenomena. The rapid advancements in data acquisition technologies, such as satellite remote sensing, mobile devices, and crowdsourcing platforms, have led to an unprecedented growth in the volume, variety, and velocity of geospatial data. Effectively processing, mining, and applying such data requires innovative methods, advanced algorithms, and interdisciplinary approaches to unlock their full potential.

This Special Issue aims to bring together original research and comprehensive reviews that advance the state-of-the-art in geospatial data processing, mining, and application. We are particularly interested in contributions that propose novel techniques, frameworks, or application-driven solutions to tackle challenges in geospatial data analysis.

Potential topics include, but are not limited to, the following:

• Novel methods for geospatial data acquisition, integration, and fusion;
• Advances in spatial statistics and geostatistics;
• Advanced techniques such as machine learning and deep learning for geospatial data mining;
• Visualization techniques for spatial and spatiotemporal data;
• Interdisciplinary applications of geospatial data in urban planning, environmental monitoring, and disaster management+transportation/mobility/human behavior;
• High-performance and cloud computing for large-scale geospatial data processing;
• Open geospatial data and reproducibility in geospatial research.

We welcome submissions from diverse disciplines, including geography, computer science, environmental science, and urban studies, to foster cross-disciplinary collaborations.

Dr. Xiaokang Fu
Dr. Tao Hu
Dr. Mengling Qiao
Guest Editors

Manuscript Submission Information

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