Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
QUANTITATIVE TECHNIQUES IN LANDSCAPE PLANNING 801600805360 3 + 0 3.0 10.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery Lecture, presentation, essays
Course Coordinator
Instructors
Assistants
Goals To instruct, to inform, to transfer knowledge and experience on quantitative methods and techniques used in landscape planning
Course Content The concept and importance of quantitative technique in Landscape Planning. Quantitative techniques for resource analysis and data analysis in landscape planning. Techniques for multivariate analysis. Quantitative techniques for analysis actual landuse structure and visual structure. Classifying as a set of the variables and parameters, expression and evaluation of the variables and parameters using numeric value.
Learning Outcomes 1) Have knowledge about the term of quantitative technique in landscape planning and quantitative techniques in data analysis in landscape planning.
2) Have knowledge about multi-criteria analysis techniques, models in landscape planning, model types, models based on identification of important elements, quantitative techniques used in data processing and evaluation stages
3) The variables and parameters affecting the planning can be grouped and evaluated by using quantitative techniques.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Information about the course content and topics ,assignments and presentations. Discussion on quantitative techniques and landscape planning_ lecture, diccussion, brainstorming Lecture

 Presentation (Including Preparation Time)
2. Week Definitions and terminology on quantitative techniques Lecture

 Presentation (Including Preparation Time)
3. Week Case studies used quantitative techniques in landscape planning, Lecture

 Presentation (Including Preparation Time)
4. Week Widely used in quantitative techniques and their differences Lecture

 Presentation (Including Preparation Time)
5. Week Multi-criteria decision making process and landscape planning Lecture

 Presentation (Including Preparation Time)
6. Week The relationship between multicriteria decision making and landscape planning Lecture

 Presentation (Including Preparation Time)
7. Week Multi-criteria decision making process and landscape planning Question Answer; Problem Solving

 Homework
8. Week Multi-criteria decision making process and landscape planning Lecture

 Presentation (Including Preparation Time)
9. Week Multi-criteria decision making process and landscape planning Lecture

 Presentation (Including Preparation Time)
10. Week AI applications Lecture

 Presentation (Including Preparation Time)
11. Week AI applications Lecture

 Presentation (Including Preparation Time)
12. Week Assessment of article examples Lecture

 Presentation (Including Preparation Time)
13. Week Sample article review Lecture

 Presentation (Including Preparation Time)
14. Week Presentation of assignments Lecture

 Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Akpınar, N., 1995. Madencilik Sonrası Alan Kullanım Alternatiflerinin Değerlendirilmesinde Fuzzy Set Tekniğinden Yararlanma Olanakları Üzerine Bir Araştırma. Ankara Üniversitesi Ziraat Fakültesi Yayınları: 1430, Bilimsel Araştırma ve İncelemeler: 793, Ankara.
Akpinar N., Talay İ., Gün S. 2007. Priority Setting In Agricultural And Use Types For Sustainable Development. Renewable Agriculture and Food Systems (2005), 20: 136-147, Cambridge University Press.
Aydogan, O., 1992. Analysis of Current Reclamation Practices Post Mining Land Use Alternatives and Suggested in AEL Mines, Master Of Science in Mining Engineering, METU, Ankara.
Banai-Kashani, R. 1989. A New Method for Site Suitability Analysis: The Analytic Hierarchy Process. Enviromental Management, 13 (6); 685-693.
Bantayan, N., Bishop, I. 1998. Linking Objective And Subjective Modelling For Landuse Decision-Making. Landscape and Urban Planning, 43 (1-3); 35-48.
Hill, M.J., ve Ark., Multi-Criteria Decision Analysis In Spatial Decision Support: The Assess Analytic Hierarchy Process And The Role Of Quantitative Methods And Spatially Explicit Analysis. Environmental Modelling & Software No:20, 955-976, Avustralia.
Lahdelma, R., Salminen, P., Hokkanen, J. 2000. Using Multicriteria Methods in Environmental Planning and Management. Enviromental Management, 26 (6); 595-605.
Ligtenberg, A., Bregt, A., Van Lammeren, R. 1999. Multi-Actor-Based Land Use Modelling: Spatial Planning Using Agents. Landscape And Urban Planning, 56 (1-2); 26-33.
Martinez-Falero, E. and Gonzalez-Alonso, S. (Eds.), 1995. “Quantitative Techniques in Landscape Planning”. Boca Raton: Lewis Publishers.1995
Pesonen M., Kurttila M., Kangas J., Kajanus M., Heinonen P. 2001. Assessing the Priorities Using A'WOT Among Resource Management Strategies at the Finnish Forest and Park Service. Society of american Foresters, 47 (4); 534-541
Phua, M., Minowa, M. 2003. A GIS-Based Multi-Criteria Decision Making Approach to Forest Conservation Planning at A Landscape Scale: A Case Study in The Kinabalu Area, Sabah, Malaysia. Landscape and Urban Plannig, 71 (2-4); 207-222.
Saaty, T.L. (2005.): Theory and Applications of the Analytic Network Process, RWS Publications, Pittsburgh USA.
Yang, F., Zeng, G.M., Du, C,. Tang, L., Zhou, J. and Li, Z. 2009. Integrated Geographic Information Systems–Based Suitability Evaluation of Urban Land Expansion: A Combination of Analytic Hierarchy Process and Grey Relational Analysis. College of Environmental Science and Engineering, Hunan University, 9 s, China.
Yılmaz, E. 2002. Analitik Hiyerarşi Süreci Kullanılarak Çok Kriterli Karar Verme Problemlerinin Çözümü. Doğu Akdeniz Araştırma Enstitüsü, Tarsus.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15000
PY25000
PY35000
PY45000
PY55000
PY65555
PY75444
PY95444
PY105555
PY155333
PY165455

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 3
Homework 1 15
Presentation (Including Preparation Time) 1 15
Activity (Web Search, Library Work, Trip, Observation, Interview etc.) 12 12
Final Exam 1 1
Time to prepare for Final Exam 1 20
1 15
1 1
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload