Kocaeli University / European Credit Transfer System (ECTS)

Name of Lecturer(s)

Prof. Dr. Ozan ARSLAN

Learning Outcomes of the Course Unit
Program Competencies-Learning Outcomes Relation

Learning Outcomes of the Course Unit

1) Define the spatial analysis concept and spatial query in geographic information systems
2) Explain the processes applying on spatial data and related models, map algebra and neighbourhood operations
3) Use three dimensional analysis concept and 3D models in geographic information systems.
4) Discuss the basic information on spatial surface interpolations and geostatistic concept in GIS.
5) Clarify digital terrain models, vector surfaces and objects, obtaining surface parameters and visualisation of statistical surfaces.
6) Explain the knowledge on spatial modelling concept for geographic analysis in geographic information systems

Program Competencies-Learning Outcomes Relation

		Program Competencies
		1	2	3	4	5	6	7
Learning Outcomes
	1	No relation	No relation	No relation	No relation	No relation	High	No relation
	2	No relation	No relation	No relation	No relation	No relation	Middle	No relation
	3	No relation	No relation	No relation	No relation	No relation	Middle	No relation
	4	No relation	No relation	No relation	No relation	No relation	Middle	No relation
	5	No relation	No relation	No relation	No relation	No relation	No relation	No relation
	6	No relation	No relation	No relation	No relation	No relation	High	No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Geographic Information Systems

Course Contents

This course provides candidates with profound knowledge on; introduction, object types and definition, presentation of topology concept, Geographic entity types and definitions, Algorithms for line intersections, R-tree algorithms, Polygon algorithms and patterns, formal models for spatial relations, intersection model, data preparation for network analysis, network analysis, 3-dimensional analysis, TIN (Triangulated irregular networks), other techniques for 3-dimensional networks, Quadtree algorithms and spatial indexes, spatial operations, spatial data query languages, vectorisation, spatial reference relation and national and international standards.

Weekly Schedule

1) Query and spatial analysis in geographic information systems
2) Introduction to procedures on geospatial data, map algebra concept, neighbourhood operations
3) Formal models for spatial relationships
4) Data preparation for network analysis, network analyses
5) Techniques for 3-D analyses, triangualted irregulat networks (TIN)
6) Geostatistics, spatial surface operations, spatial autocorrelation, deterministic and stochastic interpolation concepts
7) Digital elevation models, vector surfaces and objects, visualisation of surfaces
8) Midterm examination/Assessment
9) Quadtree Algorithms and spatial indexes, spatial operations
10) Spatial data query languages, vectorisation and spatial reference
11) Modelling concept for geographic analysis and modelling for applications
12) Topological query concept
13) Uncertainty concept for spatial analysis
14) Multicriterion combination methods for geographic analysis
15) New trends in geographic information systems
16) Final examination

Planned Learning Activities and Teaching Methods

1) Lecture
2) Discussion
3) Demonstration
4) Group Study
5) Problem Solving

Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

50%

		Number	Percentage
Semester Studies	Midterm Examination	1	50%
	Quiz	1	20%
	Presentation/Seminar	1	30%

Contribution of Final Examination to Course Grade

50%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required

Course Unit Title	Course Unit Code	Type of Course Unit	Level of Course Unit	Year of Study	Semester	ECTS Credits
Spatial Analysis With Gis	JJM502	Elective	Master's degree	1	Spring	9