Providing knowledge and skills on spatial data collection, production, and analysis methods for landscape planning processes; and applying GIS-based spatial analyses, land cover change analysis, landscape metrics, and multi-criteria decision-making approaches for evaluation and decision-making in planning processes.

This course focuses on the fundamental concepts, spatial analysis techniques, and GIS-based planning approaches used in landscape planning studies. The course examines the spatial planning system and planning hierarchy in Türkiye while introducing vector and raster data models, spatial data production, attribute tables, and thematic mapping processes through applied studies. Land cover and land use analyses, spatio-temporal change assessment, and landscape metrics used for evaluating landscape structure constitute the core components of the course. In addition, connectivity, fragmentation, and information theory-based landscape metrics are addressed, and GIS-based suitability analyses are conducted using multi-criteria decision-making methods and the Analytic Hierarchy Process (AHP). The course aims to improve students’ analytical thinking, spatial data interpretation, and decision-support evaluation skills within the context of landscape planning studies. Midterm evaluation consists of class participation/performance, assignment work, and a midterm exam, accounting for a total of 40%. The end-of-term evaluation is conducted through the final exam (60%). Students repeating the course are required to complete all assignments, class participation/performance activities, and examinations again within the scope of the current assessment and evaluation structure of the course.