Climate change introduces significant uncertainties for the development of Hakka settlements. The urgency of climate warnings necessitates a more cautious approach to land use, agriculture, and livelihoods in these regions. To address these global challenges, adopting innovative regional, spatial, and human-environment analytical techniques is essential. This course leverages Geographic Information Systems (GIS) as a spatial analysis platform. It employs overlay analysis, land suitability analysis, and predictive modeling to simulate and assess climate change drivers and their effects on Hakka settlements and land use. This advanced course in GIS applications integrates theories and research methodologies from statistics, quantitative analysis methods, and GIS. The course applies geospatial visualization techniques to project statistical analysis results onto geographic space and utilizes spatial clustering to interpret space-time processes in quantitative research. The course aims to enhance students’ understanding of interdisciplinary research and analytical techniques by strengthening their theoretical foundation in spatial analysis methods, including Geostatistics, Geoprocessing, Spatial Autocorrelation, 3D Spatial Analysis, Hotspot Analysis, and Spatial Flow Estimation Teaching Methods The course combines theoretical exploration with participatory discussions and guided readings of empirical research on human-environment relationships and geographic spatial analysis. Students will examine various GIS methodologies and their applications across disciplines. Additionally, hands-on computer-based exercises will reinforce practical GIS analysis skills, ensuring a comprehensive understanding of spatial analysis techniques and their real-world applications.