GGR276 Spatial Data Science I
Introduction to the study of geographical phenomena using descriptive and inferential statistics. Fundamentals of geographic data and statistical problem solving using non-spatial and spatial descriptive statistics. Decision making using evidence gathered from inferential statistical analysis. Graphical summary, geographic visualization and mapping of analytical results. Application of state of the art software for statistical analysis. Provides background for future studies in geographic information systems and advanced statistical analysis. The course strikes a balance between developing an understanding of core non-spatial and spatial statistical concepts, while demonstrating technical proficiency in the application of software to the study of geographical questions.
Credits: Science, Experimental Learning
Lecture hours: 24
Practicum hours: 12
Prerequisite: 4.0 credits
The teacher provided a great overview of statistics and walked through introductory applied problems in a clear and concise manner. We also got the chance to learn about different software like ArcMap and R.
Core Skills Developed
- Introductory Spatial Analysis
- Statistical Problem Solving Approaches
- Descriptive and Inferential Statistics
- Learn Excel, R, and ArcMAP