This course concentrates on the theory and method of modeling the ecological, climatic, hydrological, and social systems of landscape. Specifically, it focuses on the computing tools to conduct quantitative spatial analysis of landscape factors including land cover, topography, socioeconomics, hydrology, and so on. It acquaints students with knowledge and skills of how spatial information can be collected, analyzed, and then combined to generate maps and models that allow stakeholders to investigate land planning alternatives. It also introduces cutting-edge landscape modeling methods such as QGIS, Google Earth Engine, RStudio, and InVEST, as well as data visualization techniques. It will result in a final project of comprehensive landscape planning in the Rouge River Watershed with data-driven methods.