SavedAdd your journal

Journals / Uludağ Arıcılık Dergisi / 2017 / Volume: 17 Issue: 2

KONYA İLİ İÇİN ÇOK ÖLÇÜTLÜ KARAR ANALİZLERİ İLE EN UYGUN ARICILIK YERLERİNİN BELİRLENMESİ

Durmuş Ali Ceylan
Fatih Sarı
Pages
—
Publication Date
2017-11-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Arıcılık, günümüzde ülke genelinde önemi giderek artan ve özellikle biyoçeşitlilik, ekosistem,

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Arıcılık, günümüzde ülke genelinde önemi giderek artan ve özellikle biyoçeşitlilik, ekosistem,
📊
Key Findings & Data:Arıcılık, günümüzde ülke genelinde önemi giderek artan ve özellikle biyoçeşitlilik, ekosistem,
💡
Conclusion & Impact:Arıcılık, günümüzde ülke genelinde önemi giderek artan ve özellikle biyoçeşitlilik, ekosistem,
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Arıcılık Yerleri · Uygunluk Analizi · Coğrafi Bilgi Sistemleri

Özet

Arıcılık, günümüzde ülke genelinde önemi giderek artan ve özellikle biyoçeşitlilik, ekosistem,

🔖

Cite This Article

Ceylan, D. A., Sarı, F. (2017). KONYA İLİ İÇİN ÇOK ÖLÇÜTLÜ KARAR ANALİZLERİ İLE EN UYGUN ARICILIK YERLERİNİN BELİRLENMESİ. Uludağ Arıcılık Dergisi, Volume: 17 Issue: 2. https://doi.org/10.31467/uluaricilik.373637

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (22)

  1. Abou-Shaara, H, F., Al-Ghamdi, A, A., Mohamed, A, A., 2013. A Suitability Map for Keeping Honey Bees Under Harsh Environmental Conditions Using Geographical Information System. World Appl. Sci. J. 22, 1099 -1105.
  2. Amiri, F., Shariff, M, A., 2012. Application of geographic information systems in landuse suitability evaluation for beekeeping: A case study of Vahregan watershed (Iran). African Journal of Agricultural Research Vol. 7(1), 89-97.
  3. Arentze, T. A., Timmermans, H. J. P., 2000. ALBATROSS: A Learning-based Transportation Oriented Simulation System. EIRASS, Eindhoven University of Technology, The Netherlands.
  4. Camargo, S, C., Garcia, R, C., Feiden, A., Vasconcelos, E, S., Pires, B, G., Hartleben, A, M., Moraes, F, J., Oliveira, L., Giasson, J., Mittanck, E, S., Gremaschi, J R., Pereira, D, J., 2014. Implementation of a geographic information system (GIS) for the planning of beekeeping in the west region of Paraná. Annals of the Brazilian Academy of Sciences, 86(2), 955-971.
  5. Ceylan, D, A., (2004). A research on determination of the technical and structural characteristics of beekeeping in Konya province. Master Thesis. Mustafa Kemal University, Graduate School of Natural Sciences.
  6. Chen, Y., Yua, J., Khan, S., 2010. Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation. Environmental Modelling & Software 25, 1582-1591.
  7. Damián, G, C., 2016. GIS-based optimal localisation of beekeeping in rural Kenya Master degree thesis, 30/ credits in Master in Geographical Information Sciences Department of Physical Geography and Ecosystems Science, Lund University.
  8. Estoque, R, C., Murayama, Y., 2010. Suitability Analysis for Beekeeping Sites in La Union, Philippines, Using GIS and Multi-Criteria Evaluation Techniques. Research Journal of Applied Sciences 5(3), 242-253.
  9. Estoque, R, C., Murayama, Y., 2011. Suitability Analysis for Beekeeping Sites Integrating GIS & MCE Techniques. Spatial Analysis and Modeling in Geographical Transformation Process. 978-94-007-0670-5. Springer Netherlands.
  10. Fernandez, P., Roque, N., Anjos, O., (2016). Spatial multicriteria decision analysis to potential beekeeping assessment. Case study: Montesinho Natural Park (Portugal). In: Sarjakoski, T., Santos, M.Y., Sarjakoski, L.T. (Eds.), 19th AGILE International Conference on Geographic Information Science - Geospatial Data in a Changing World, Helsinki, Finland.
  11. Maris, N., Mansor, S., Shafri, H., 2008. Apicultural Site Zonation Using GIS and Multi-Criteria Decision Analysis. Pertanika J. Trop. Agric. Sci. 31(2), 147 – 162.
  12. Joerin, F., Theriault, M., Musy, A., 2001. Using GIS and outranking multi-criteria analysis for land-use suitability assessment. Int. J. Geogr. Inform. Sci. 15 (2),, 153–174
  13. Oldroyd, P, B., Nanork, P., 2009. Conservation of Asian honey-bees- Apidologie Bee Conservation. 40, 296-312.
  14. Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234–281.
  15. Saaty, T. L., 1980. The analytical hierarchy process. New York: Wiley.
  16. Saaty, T. L., 1994. Fundamentals of Decision Making and Priority Theory With The Analytical Hierarchy Process, RWS Publ. Pittsburg, 69-84.
  17. Saaty, T, L., Decision Making with Dependence and Feedback: The Analytic Network Process, 2nd edition, PRWS Publications, Pittsburgh PA, 2001.
  18. Saaty, T.L., Vargas, L.G., 1991. Prediction, Projection and Forecasting.Kluwer Academic Publishers, Dordrecht, 251 pp.
  19. Wang, F., Hall, G.B., Subaryono, 1990. Fuzzy information representation and processing in conventional GIS software: data base design and applications. Int. J. Geogr. Inform. Syst. 4 (3), 261–283.
  20. Yu, J., Chen, Y., Wu, J., Khan, S., 2011. Cellular automata-based spatial multi-criteria land suitability simulation for irrigated agriculture. Int. J. Geogr. Inform. Sci. 25 (1), 131–148.
  21. Zolekar, R,B., Bhagat, V, S., 2015. Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach. Computers and Electronics in Agriculture, 118, 300–321.
  22. URL 1. Türkiye İstatistik Kurumu Resmi Web Sayfası. https://biruni.tuik.gov.tr/hayvancilikapp/hayvancilik.zul (06.10.2017).