Due to the development of advanced information technology, highly accurate spatial information can be utilized. In urban planning, environmental science and area marketing, using these data, modeling of spatial phenomena and elucidation of phenomena is required to plan and implement detailed measures for individual entities. Particularly in recent years, new academic fields called geostatistics and space econometric economics are being formed, and these methodologies have been applied to its application to environmental science, humanities and social sciences. In this course, students are expected to acquire more advanced spatial modeling techniques through lectures and exercises. Students are expected to exercise by selecting socioeconomic data (population, land price etc.) or environment related data (air pollution observation value, etc.) according to their interest.