GIT 502 - Spatial Data Analysis

Course Objectives

To understand the fundamental concepts, methods, and approaches of spatial data analysis and to apply appropriate analysis techniques to different types of problems.

To effectively use vector- and raster-based spatial analysis methods (e.g., querying, overlay, proximity, surface, and network analyses).

To visualize and interpret analysis results through maps, graphs, and thematic representations, and integrate them into decision-making processes.

To develop practical solutions for real-world problems by utilizing spatial analysis tools and software.

Course Description

This course covers the structure and characteristics of spatial data and the principles of using vector and raster data models. Within the framework of spatial analysis, methods for spatial querying, modeling, and decision support are addressed. Surface and grid analyses, geostatistical analyses, vector overlay and geometric operations, and network analyses are examined through practical applications. In addition, visualization and generalization methods, recent developments, and emerging approaches in spatial analysis are discussed.