Be Happy,Be Enjoyable,Be a GISer!
Dream boldly.
Dream boldly.
Moment of my GIS class
At the graduate level, I consistently offer a course in GIS. This course imparts knowledge and skills related to mapping, processing multi-source spatial big data, and utilizing quantitative analysis methods across various domains.
It consists of five key components: (1) Introduction to GIS: Exploring fundamental GIS concepts and its extensive development with real-world application examples. (2) Spatial Information: Covering GIS-based analytical techniques, data management, and network analysis, et al. (3) Remote Sensing Basics: Teaching essential principles of remote sensing, with practical training in land use/land cover classifications. (4) Thematic Mapping: Exploring cartography and map creation, including coordinate systems and necessary components like legends. (5) Comprehensive Projects: Designing projects that encompass data collection, preprocessing, and spatial modeling, using tools like Google Earth Engine for environmental monitoring and spatial regression analysis...
Hands-on exercises:
Mapping the
population
density
Population density in1990 vs 2005
RS
→
GIS
GPS
At the undergraduate level, I regularly teach the course "Natural Disasters and Society I & II" (ARS70701), focusing on climate change disaster mitigation and adaptation. The course covers the basics of climate change, global warming mechanisms, and evidence-based insights into its impacts. I emphasize the interconnectedness of events like extreme weather, ice melting, sea level rise, and ecosystem disruption. Furthermore, I stress the importance of climate change mitigation and adaptation strategies, addressing drivers of climate change, the greenhouse effect, and CO2 emissions. Students engage in empirical case studies on emission reduction and natural-based approaches to enhance carbon sinks. The course incorporates real-life cases and critical scientific questions, making climate science more accessible. Designed for senior students, it provides foundational knowledge on climate change and fosters research interests for future graduate studies.
International Workshop, Tokyo, Japan. 2024
"Practical Applications and Education of AI"
Exchange between Waseda University Japan and University of Texas at Austin USA
As part of 'Planning for Megaregions' course, in 2023, in Asia, Japan, making students learn from the experience of high-speed rail-supported regional development.