Cloud-Native Geospatial in Modern GIS Education: Qiusheng Wu

In this presentation, Qiusheng Wu explores the transformative role of cloud-native technologies in modern GIS curricula. As spatial data grows in complexity and volume, cloud-native geospatial formats (e.g., COG, STAC, GeoParquet, and PMTiles) and open-source Python packages (e.g., geemap, leafmap) offer new opportunities for scalable geospatial analysis, efficient data management, and collaborative research. By integrating these tools into GIS curricula, educators can empower students with essential skills for managing large datasets, real-time processing, and promoting open science. We will explore effective pedagogical strategies, real-world case studies, and best practices for incorporating cloud-native geospatial technologies into GIS education, equipping students with the knowledge and capabilities needed for careers in advanced geospatial analysis and visualization.