| Description
| Geo-information modeling, eco-information compilation, and disaster data collection all require the collection of massive amount of spatial data and the subsequent analysis. Statistics is the science of processing and using large amount of data. Therefore, it plays an important role in the comprehension of spatial information.
This course will discuss probabilistic modeling, common probability distributions, statistical hypothesis tests, multiple regression analysis,
distributions of points/lines, nearest-neighbor analysis, and the analysis of directional data.
Students will learn how to apply the acquired statistical skills to geo-information research, model building, and related application development. The lessons learned in this course will also help them verifying the collected spatial data and interpreting the analysis results in their thesis
research.
Prerequisite: probability and statistics, computer programming
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