Advanced Information Systems: Data-Driven and Geospatial Approaches

Dear Colleagues,

The rapid advancement of information systems is revolutionizing how we collect, analyze, and leverage geospatial data to address complex urban and environmental challenges. From high-resolution urban mapping to intelligent prediction models, novel computational techniques and data-driven approaches are enabling unprecedented insights into the built environment, transportation systems, environmental sustainability, and human-environment interactions.

This Special Issue, titled "Advanced Information Systems: Data-Driven and Geospatial Approaches", seeks to explore cutting-edge methodologies that harness big data, artificial intelligence, and geospatial technologies to solve real-world problems. We aim to showcase innovative research that integrates multi-source data, develops intelligent algorithms, and provides actionable solutions for sustainable urban development and environmental management.

We invite contributions that demonstrate the transformative potential of advanced information systems across diverse applications. Whether exploring deep learning for remote sensing, geospatial big data analytics, explainable machine learning for urban systems, or novel database architectures for spatiotemporal data, we welcome research that pushes the boundaries of what is possible with modern information technologies.

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

• Deep learning and AI applications in remote sensing and urban mapping;
• Geospatial big data mining and social media analytics;
• Explainable machine learning for urban and environmental systems;
• Novel prediction models for transportation and human mobility;
• Spatiotemporal data management and query optimization;
• Carbon emissions modeling and environmental sustainability assessment;
• Multi-source data fusion for urban planning and management;
• Applications of GIS in climate change mitigation and adaptation.

Dr. Yi Bao
Dr. Xiao Zhou
Dr. Ganmin Yin
Dr. Bowen Cai
Guest Editors

Manuscript Submission Information

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