Course Information

Course Name	Turkish	Konumsal Veri Analizleri
	English	Spatial Data Analysis
Course Code	GIT 502	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		Turkish
Course Coordinator		Adalet Dervişoğlu
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.
Course Outcomes		M.Sc. students who successfully pass this course gain knowledge, skill and competency in the following subjects; i. Grasping the inter-disciplinary interaction related to one’s area ii. The ability to use the expert-level theoretical and practical knowledge acquired in the area iii. Interpreting and forming new types of knowledge by combining the knowledge from the area and the knowledge from various other disciplines iv. Solving the problems faced in the area by making use of the research methods v. Developing new strategic approaches to solve the unforeseen and complex problems arising in the practical processes of one’s area and coming up with solutions while taking responsibility vi. Using the computer software together with the information and communication technologies efficiently and according to the needs of the area vii. Paying regard to social, scientific, cultural and ethical values during the collecting, interpreting, practicing and announcing processes of the area related data and the ability to teach these values to others viii. Developing strategy, policy and application plans concerning the subjects related to the area and the ability to evaluate the end results of these plans within the frame of quality processes ix. Using the knowledge and the skills for problem solving and/or application (which are processed within the area) in inter-disciplinary studie
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