Information Package / Course Catalogue
| Course Code | : ZPM515 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
The aims of this course are to understand the reasons for visual quality analysis in landscape planning, design and management studies, to learn the methods of analysis and to conduct visual quality analysis research in sample research areas using analysis and to evaluate the visual resource values ??of landscapes as a result of the analysis.
In the content of the course, the concepts of landscape planning, landscape design and visual quality are presented, and the "Visual Quality Analysis Method", which is used to determine the visual quality in the landscape and reflect it on landscape planning, landscape design and landscape management studies, is presented. In sample areas, visual quality analysis is carried out.
| Prof. Zöhre POLAT |
| 1. | Will be able to learn the concepts of landscaping, landscape planning, landscape design and landscape management. |
| 2. | Will be able to understand the importance of visual quality analysis in landscape planning |
| 3. | Will be able to understand the importance of visual quality analysis in landscape design and management |
| 4. | Will be able to learn visual quality analysis methods |
| 5. | Will be able to understand the most commonly used visual quality analysis methods today |
| 6. | Will be able to conduct visual quality analysis in sample research areas |
| 7. | Will be able to evaluation of visual quality analysis data in planning, design and management processes in urban and rural landscapes |
| 1. | Polat, Z. and Acar, C. (2010) Peyzajda Neden Görsel Kalite Analizi Yaparız? Artvin Çoruh Üniversitesi. Orman Fakültesi Dergisi, 10 (2), 19-29. |
| 2. | Bulut, Z. (2006) The Evaluation of recreational tourism potential of Kemaliye (Erzincan) and nearby within an alternative tourism framework Atatürk University. Natural and Applied Sciences Institution, Landscape Architecture Dept. (Unpublished Doctoral Thesis), Turkey, Erzurum,204p. |
| 3. | Kaplan, S. (1987) Aesthetics, affect and cognition: Environmental preference, from an evolutionary, perspective. Environment and Behaviour, 19, 3-32. |
| 4. | Noralizawati, M. (2009) Public Preferences Towards Naturalistic and Designed Landscape Pattern. Unpublished masters dissertation, Universiti Teknologi MARA. |
| 5. | De La F., De Val, G. (2014) Visual quality: An examination of a South American Mediterranean landscape, Andean foothills east of Santiago (Chile). Urban Forestry & Urban Greening, 13, 261–271. |
| 6. | Chen, Z., Xu, B., Gao, B. (2015) Assessing visual green effects of individual urban trees using airborne Lidar data. Science of the Total Environment , 536, 232–244. |
| 7. | Purcel, A. T. and Lamb, R. J. (1998) Preference and naturalness: An ecological approach . Landscape and Urban Planning, 42 (1), 57-66. |
| 8. | Akbar, K. F., Hale, W. G. H. and Headley, A. D. (2003) Assessment of scenic beauty of the roadside vegetation in northern England. Landscape and Urban Planning, 63, 139-144. |
| 9. | Tayvanainen, L, Tyrväinen, L., Ihalainen, M., Vuorela, N. and Kolehmainen, O. (2001) Forest management and public perceptions — visual versus verbal information. Landscape and Urban Planning, 53 (1-4), 53-70. |
| 10. | Ribe, R. G. (2005) Aesthetic perceptions of green-tree retention harvests in vista views: The interaction of cut level, retention pattern and harvest shape. Landscape and Urban Planning, 73 (4), 277-293. |
| 11. | Biénabe, E. and Hearne, R. R. (2006) Public preferences for biodiversity conservation and scenic beauty within a framework of environmental services payments. Forest Policy and Economics, 9 (4), 335–348. |
| 12. | Chen, B., Adimo, O. A. and Bao, Z. (2009) Assessment of aesthetic quality and multiple functions of urban green space from the users’ perspective: The case of Hangzhou Flower Garden, China. Landscape and Urban Planning, 93 (1), 76-82. |
| 13. | Qin, J., Zhou, X., Sun, C., Leng, H. and Lian, Z. (2013). Influence of green spaces on environmental satisfaction and physiological status of urban residents. Urban Forestry & Urban Greening, 12(4):490–497. |
| 14. | Abu-Ghazzeh, T. M. (1999) Communicating Behavioural Research to Campus Design: Factors Affecting the Perception and Use of Outdoor Spaces at the University of Jordan. Environment and Behavior, 31: 764-804. |
| 15. | Lückmann, K., Lagemann, V. and Menzel, S. (2013) Landscape Assessment and Evaluation of Young People: Comparing Nature-Orientated Habitat and Engineered Habitat Preferences. Environment and Behaviour, 45: 86-112 |
| 16. | Herzog, T. R. , Gray, L. E., Dunville, A. M., Hicks, A. M. and Gilson, E. A. (2013) Preference and Tranquility for Houses of Worship. Environment and Behaviour, 45, 504-525. |
| 17. | Falk, J. H. and Balling, J. D. (2010) Evolutionary Influence on Human Landscape Preference. Environment and Behaviour , 42: 479-493. |
| 18. | Zhang, H. and Lin, S-H. (2011) Affective appraisal of residents and visual elements in the neighbourhood: A case study in an established suburban community. Landscape and Urban Planning, 101 (1), 11–21. |
| 19. | Bulut, Z., Sezen, I. and Karahan, F. (2010) Determination of Spring Visual Ceremonies of Urban Fruit Trees and Shrubs: A Case Study from Erzurum/Turkey. Journal of Food Agriculture & Environment-JFAE, 8(1): 289-296. |
| 20. | Yang, J., Zhao, L.S., Mcbride, J., Gong, P. (2009) Can you see green? Assessing the visibility of urban forests in cities. Landscape and Urban Planning, 91, 97–104. |
| 21. | Zhang et al., 2024. Research on visual quality assessment and landscape elements influence mechanism of rural greenways . Ecological Indicators 160 (2024) 111844 |
| 22. | Fang et.al., 2024. Visual aesthetic quality assessment of the streetscape from the perspective of landscape-perception coupling. Environmental Impact Assessment Review Volume 106, , 107535 |
| 23. | Zhou et al., 2024. Super-resolution image visual quality assessment based on structure–texture features. Signal Processing: Image Communication Volume 117, September 2023, 117025 |
| 24. | Zhang et al., 2024. Assessment of visual landscape quality of urban green spaces using image-based metrics derived from perceived sensory dimensions.Environmental Impact Assessment Review Volume 102, September 2023, 107200 |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 8 | 3 | 154 |
| Midterm Examination | 1 | 20 | 1 | 21 |
| Final Examination | 1 | 24 | 1 | 25 |
| TOTAL WORKLOAD (hours) | 200 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | |
OÇ-1 | 3 | ||||||
OÇ-2 | 3 | 3 | |||||
OÇ-3 | 3 | 3 | |||||
OÇ-4 | 3 | 4 | |||||
OÇ-5 | |||||||
OÇ-6 | 3 | 3 | |||||
OÇ-7 | 3 | 5 | 3 | ||||