Scilight Press

GeoAI and Geoinformatics is an open-access, peer-reviewed journal that aims to establish a dynamic international platform dedicated to fostering interdisciplinary dialogue and innovation at the forefront of geospatial science and technology. We are committed to integrating cross-disciplinary exchanges across earth sciences, social sciences, environmental sciences, and computer sciences, and to advancing scholarly contributions that develop robust and scalable solutions to real-world problems. Our publication philosophy centers on bridging the gap between theoretical breakthroughs and practical applications, ensuring that cutting-edge research translates into tangible benefits for society and the environment.

Our core objective is to foster and showcase collaborative efforts among interdisciplinary researchers in developing innovative computational methods, advanced statistical techniques, and cutting-edge informatics solutions. The journal places particular emphasis on integrating transformative technologies—such as big data analytics, machine learning, artificial intelligence, and advanced visualization techniques—with traditional geoscience methodologies. This synergy is crucial for deepening our understanding and management of Earth's complex systems and optimizing decision-making processes. We aim to publish high-quality original research, review articles, and methodological contributions that demonstrate significant theoretical advances or practical applications in addressing global challenges such as climate change, natural resource management, disaster risk reduction, and sustainable development.

It is published quarterly online by Scilight Press.

GeoAI and Geoinformatics encompasses a broad spectrum of research topics that integrate geospatial technologies with advanced computational methods and statistical analysis. The journal's scope includes, but is not limited to, the following key areas:

Computational and Methodological Advances:

• Advanced numerical methods and algorithms for spatial and spatiotemporal data analysis
• Machine learning and artificial intelligence applications in geosciences
• Geostatistical modeling, simulation, and uncertainty quantification
• Big data analytics and high-performance computing for geospatial applications
• Deep learning approaches for remote sensing and image processing

Earth System Science Applications:

• Climate change monitoring, modeling, and prediction systems
• Natural hazard assessment, early warning systems, and risk management
• Water resource management and hydrological modeling
• Ecosystem monitoring, biodiversity assessment, and conservation planning
• Land use/land cover change detection and environmental impact assessment

Social and Urban Applications:

• Smart city development and urban informatics
• Social-environmental interaction modeling and human geography
• Transportation planning and mobility pattern analysis
• Public health surveillance and epidemiological modeling
• Sustainable development planning and policy support systems

Technical Innovation and Data Science:

• Remote sensing innovations and multi-source data fusion
• Geospatial data infrastructure, interoperability, and standards
• Real-time monitoring systems and sensor networks
• 3D/4D visualization and virtual geographic environments
• Cyberinfrastructure development and cloud-based geospatial services

The journal publishes various article types, including original research papers, comprehensive reviews, technical communications, case studies, and data notes. We particularly encourage interdisciplinary submissions that demonstrate innovative applications of geoinformatics and geostatistics in addressing complex environmental and societal challenges. All submissions undergo rigorous peer review to ensure scientific quality, methodological soundness, and practical relevance.