{"c_title":"[M0000.028500] Advanced Urban Environment Analysis and Data Visualization","c_info":"3 credits | Lecture\/Seminar | Doctoral | Interdisciplinary Program in Landscape Architecture","c_summary":"This class is an analysis model and data visualization course for doctoral students. Statistical methods are widely used in a variety of disciplines, including urban design and landscape architecture. Recently, advanced modeling techniques using big data have been developed and applied, as well as sophisticated analysis and interpretation techniques through data visualization have been developed. This course deals with spatial regression models, multi-layer models, and time series models, which are suitable for urban environment research. Students perform research tasks using these models, and derive implications through data visualization. An understanding of basic statistical model (OLS) is required to taking this course."}