General Description
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This course is designed to provide statistical knowledge, skills, and expertise required to carry out advanced analyses in geographic information systems (GIS), remote sensing, and spatial statistics. Students will be introduced to theories and applications of several statistical methodologies that have a practical significance, ranging from basic inferential statistics to multivariate regression analysis. A specific focus will be on the use of regression as an important tool for investigating, analyzing, and modeling relationships between variables. With far-reaching applications in almost every field, regression models are used in engineering, the physical and chemical sciences, economics, management, biological sciences, and the social sciences, including geography and spatial analysis. Consequently, a key goal of this course is to ensure that students understand the basic principles of model building and develop skills for using regression analysis in a wide variety of application environments. |
