{"c_title":"[M2097.000600] Spatially Integrated Research Methods","c_info":"3 credits | Lecture\/Seminar | Common | \ub300\ud559\uc6d0\uacf5\ud1b5","c_summary":"This course is designed to learn and apply fundamental to up-to-date quantitative methods used for spatially integrative analysis in such disciplines as urban planning, transportation studies, environmental management, and landscape architecture. Beginning with basic descriptive techniques for spatial data, this course reviews the principles of statistical inference, key statistical tests, and their practical application. Emphasis is placed on the use and limitations of analytical techniques in the literature and practice, including problems caused by violations of underlying assumptions as well as by the nature of spatial data. The course then explores alternative forms of multivariate analysis and introduces current methods for spatially integrative research. By the end of the semester, students should be able to (1) know the appropriateness of a quantitative method for a certain application, (2) comfortably use (statistical and GIS) software packages relevant to quantitative methods for spatially integrative analysis, (3) critically examine quantitative methods used in peer-reviewed papers, and (4) endeavor to seek more information on any type of method used by researchers. No prerequisites are needed, but it is assumed that students have some prior knowledge of introductory statistics."}