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| ORML7561 | MAPPING NON WOOD FOREST PRODUCTS | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of FOREST ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Derya MUMCU KÜÇÜKER | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Mapping of spatial distribution of plant and animal source non wood forest products species |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | The importance of determining spatial distribution of NWFP | 2,3 | 3,5, | | PO - 2 : | Statistical modelling technics for mapping of plant and animal sourced NWFP | 2,3 | 3,5, | | PO - 3 : | GIS analysis technics for using mapping of plant and animal sourced NWFP | 2,3 | 3,5, | | PO - 4 : | Creating of spatial distribution maps though GIS | 2,3 | 3,5, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| The importance of determining spatial distribution areas in Non Wood Forest Products, The importance of determining spatial distribution though Ecosystem Based Multiple Use Planning approach, Using of inventory cards for spatial distribution of Non Wood Forest Products, Creating of database in Geographical Information System, Using of some statistical modelling technics such as logistic regression analysis, discriminant analysis and classification tree for determining spatial distribution of NWFP, creating of spatial distribution maps using some function of GIS such as Kriging methods, Thiessen polygon and Query. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | The importance of determining spatial distribution areas in NWFP | | | Week 2 | Integration of NWFP into ETÇAP planning approach | | | Week 3 | Using of inventory cards for spatial distribution of NWFP | | | Week 4 | Creating of database in Geographical Information System and practices | | | Week 5 | Logistic regression analyze, sample studies and practices | | | Week 6 | Discriminant analyze, sample studies and practices | | | Week 7 | Integration of logistic models into GIS | | | Week 8 | Classification tree technique, sample studies, and practices | | | Week 9 | Midterm exam | | | Week 10 | Generalized Additive Model, sample studies and practices | | | Week 11 | Query in GIS and practices | | | Week 12 | Thiessen polygon and practices | | | Week 13 | Geostatistical analysis (kriging models) and practices | | | Week 14 | Creating spatial distribution maps of NWFP in GIS | | | Week 15 | Presentation of homework project and evaluation | | | Week 16 | End-of-term exam | | | |
| 1 | Wing G.M, Bettinger, P. 2008. Geographic Informational Systems Applications in Natural Resource Management, 2. Edition, Oxford University Press, Canada. | | | 2 | ArcGISTM10 Desktop Uygulama Dökümanı, Esri Türkiye.www.islem.com.tr | | | 3 | SPSS Institute Inc. (2006) SPSS Base 15.0 Users Guide, 783p. | | | 4 | SAS Institute Inc. (2013). SAS 9.1 help and documentation. SAS Institute Inc., Carry, N.C. | | | 5 | FAO, 2001. Resource assesment of non-wood forest products, Experiance and biometric principles, Non Wood Forest Products Series No 13, Rome. | | | 6 | Özkan, K., Şentürk, Ö., Mert, A., Negiz, M.G. 2015. Modeling and mapping potential distribution of Crimean juniper ( Bieb.) using correlative approaches Juniperus excelsa Bieb.) using correlative approaches. Journal of Environmental Biology, Special issue, 36: 9-15 | | | 7 | Özkan, K., Berger, U., 2014. Predicting The Potential Distribution of Plant Diversity In The Yukarigökdere Forest District of The Mediterranean Region. Polish Journal of Ecology, 62: 441-454. | | | 8 | Özkan, K. 2013. Using the non-parametric classifier CART to model Lebanon Cedar (Cedrus libani A. Rich) distirbution in a mountain Mediterranean forest district. Pol. J. Environ. Stud. 22(2):495-501. | | | 9 | Güner, Ş.T., Özkan, K., Çömez, A., 2011. Key factors in the site selection of Rosa canina (L.)? aplying the generalized additive model. Polish Journal of Ecology, 59(3): 475-482. | | | |
| 1 | Yomralıoğlu, T. 2000. Coğrafi Bilgi Sistemleri Temel kavramlar ve Uygulamalar, Seçil Ofset, İstanbul | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 18/04/2024 | 1 | 30 | | Homework/Assignment/Term-paper | 15 | 23/05/2024 | 1 | 20 | | End-of-term exam | 16 | 30/05/2024 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 13 | 39 | | Sınıf dışı çalışma | 4 | 13 | 52 | | Laboratuar çalışması | 0 | 0 | 0 | | Uygulama | 5 | 4 | 20 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 5 | 9 | 45 | | Proje | 1 | 1 | 1 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 3 | 6 | 18 | | Dönem sonu sınavı | 1 | 1 | 1 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 176 |
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