Open Access
Issue
E3S Web Conf.
Volume 669, 2025
6th International Conference on Environmental Design and Health (ICED2025)
Article Number 10006
Number of page(s) 7
Section Sustainability
DOI https://doi.org/10.1051/e3sconf/202566910006
Published online 26 November 2025
  1. O. Uzun, E.F. İlke, G. Çetinkaya, F. Erduran, S. Açıksöz, Konya İli Bozkır-Seydişehir-Ahırlı- Yalıhüyük İlçeleri ve Suğla Gölü Yöresi Peyzaj Planlaması: Peyzajın Korunması, Yönetimi ve Planlanması Projesi. T.C. Orman ve Su İşleri Bakanlığı, Doğa Koruma ve Milli Parklar Genel Müdürlüğü, Ankara (2012). [Google Scholar]
  2. Council of Europe, European Landscape Convention (ETS No. 176), Council of Europe (2000). https://rm.coe.int/1680080621 [Google Scholar]
  3. Y. Lu, S. Xu, S. Liu, J. Wu, An approach to urban landscape character assessment: Linking urban big data and machine learning. Sustain. Cities Soc. 83, 103983 (2022). https://doi.org/10.1016/j.scs.2022.103983 [Google Scholar]
  4. D. Rocchini, L. Delucchi, G. Bacaro, P. Cavallini, H. Feilhauer, G.M. Foody, K.S. He, H. Nagendra, C. Porta, C. Ricotta, S. Schmidtlein, L.D. Spano, M. Wegmann, M. Neteler, Calculating landscape diversity with information-theory based indices: A GRASS GIS solution. Ecol. Inform. 12, 50–61 (2012). https://doi.org/10.1016/j.ecoinf.2012.04.002 [Google Scholar]
  5. Ş. Şahin, H. Perçin, E. Kurum, O. Uzun, E. Bilgili, L. Tezcan, İ. Çiçek, V. Müftüoğlu, Ö.L. Çorbacı, S. Sütünç, D. Doğan, Ö. Koç, E. Ateş, B. Tarım, G. Kurdoğlu, PEYZAJ-44: Landscape Character Analysis at the Provincial Scale and Its Assessment in terms of Tourism/Recreation. Final Report, TUBITAK KAMAG 1007 Project No. 109G074 (2013). [Google Scholar]
  6. O. Uzun, S. Kargın, G. Çetin Sönmez, The landscape character analysis in Turkey. In: 13th Council of Europe Meeting of the Workshops for the Implementation of the European Landscape Convention, Cetinje, Montenegro. Council of Europe (2013). https://rm.coe.int/16802fc143 [Google Scholar]
  7. Ş. Şahin, H. Perçin, E. Kurum, O. Uzun, B.C. Bilgili, National Technical Guideline for Landscape Character Analysis and Assessment at the Regional and Sub-Regional (Provincial) Levels. TÜBİTAK KAMAG 1007 Project PEYZAJ-44, No. 109G074 (2014). [Google Scholar]
  8. H. Yin, A. Aryani, S. Petrie, A. Nambissan, A. Astudillo, S. Cao, A rapid review of clustering algorithms. arXiv (Cornell University) (2024). https://doi.org/10.48550/arxiv.2401.07389 [Google Scholar]
  9. A.E. Ezugwu, A.M. Ikotun, O.O. Oyelade, L. Abualigah, J.O. Agushaka, C.I. Eke, A.A. Akinyelu, A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. Eng. Appl. Artif. Intell. 110, 104743 (2022). https://doi.org/10.1016/j.engappai.2022.104743 [Google Scholar]
  10. J.A. Cardille, J.C. White, M.A. Wulder, T. Holland, Representative Landscapes in the Forested Area of Canada. Environ. Manage. 49, 163 (2011). https://doi.org/10.1007/s00267-011-9785-2 [Google Scholar]
  11. K. McGarigal, B.J. Marks, FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure, Gen. Tech. Rep. PNW-GTR- 351, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR (1995), 122 pp. [Google Scholar]
  12. N. Güneroğlu, C. Acar, A. Güneroğlu, M. Dihkan, F. Karslı, Coastal land degradation and character assessment of Southern Black Sea landscape. Ocean Coast. Manag. 118, 282–289 (2015). https://doi.org/10.1016/j.ocecoaman.2015.03.013 [Google Scholar]
  13. F. Nevzati, M. Veldi, M. Külvik, S. Bell, Analysis of landscape character assessment and cultural ecosystem services evaluation frameworks for peri- urban landscape planning: A case study of Harku Municipality, Estonia. Land 12(10), 1825 (2023). https://doi.org/10.3390/land12101825 [Google Scholar]
  14. D. Bartlett, E. Gómez-Martín, S. Milliken, D. Parmer, Introducing landscape character assessment and the ecosystem service approach to India: A case study. Landsc. Urban Plan. 167, 257–266 (2017). https://doi.org/10.1016/j.landurbplan.2017.06.008 [Google Scholar]

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