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Information
| Code | TS552 |
| Name | Applied Geostatistics |
| Term | 2024-2025 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MAHMUT ÇETİN |
| Course Instructor |
1 |
Course Goal / Objective
The aim of this course is mainly to teach the principles of regionalized variables theory and its applications to hydrology and natural resources.
Course Content
Nomenclature, regionalized variable theory and stationarity assumptions. Spatial correlation structure analysis: Semivariogram analysis; Matheron model types, parameter estimation, and cross validation techniques. Best Linear Unbiased Estimation (BLUE) at unsampled locations: point kriging, block kriging. Spatial mapping: Kriging estimation and kriging error maps. Interpretations of results. Applications to the up-to-date and real data of hydrology and natural resources.
Course Precondition
In order to enroll this course, it is sufficient to be a graduate or doctoral student. There are no other prerequisites.
Resources
1. Isobel Clark & William V Harper, 2008. Practical geostatistics 2000 (CD-ROM version). Reprint, November 2008, Geostokos (Ecosse) Limited, Scotland. ISBN: 0-9703317-0-3 ; 0-9703317-1-1 2. Clark, Isobel, Practical Geostatistics,1979, Applied Science Publishers Ltd, 130pp. The original Scottish view of geostatistics. 3. David, Michel, Geostatistical Ore Reserve Estimation, 1977, Elsevier Scientific Publislıing Co., Amsterdam, 360pp. 4. Deutsch, C.V., and Journel, A.G., 1998, GSLIB: Geostatistical Sojtware Library and User's Guide, 2nd Edition, Oxford University Press, New York. 5. Gandin, L.S., 1963, Objective Analysis of Meteorological Fields. Gidrometeorologicheskoe Izdatel'stvo (GIMIZ), Leningrad (translated by Israel Program for Scientific Translations, Jerusalem, 1965). 6. Hohn, M.E., Geostatistics and Petroleum Geology, 1988, Van Nostrand Reinhold, New York. 7. Isaaks, Edward H., and Srivastava, R. Mohan, An lntroduction to Applied Geostatistics, 1989, Oxford Press, N ew York, 560pp.
Notes
Publications such as scientific articles, MSc or PhD theses, reports, etc. written by using geostatistical methods/techniques.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns the basic principles of regionalised variables theory and applies them to natural resources. |
| LO02 | Knows and construct the theoretical models of yarivariograms. |
| LO03 | Understands and solves the systems of Kriging equations. |
| LO04 | Makes predictions with BLUE technique for points of no observations |
| LO05 | Draws/generates Kriging estimation and Kriging error maps concurrently; interpret these maps. |
| LO06 | Makes optimum sampling design by using Kriging maps. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Has the ability to develop and deepen the level of expertise degree qualifications based on the knowledge acquired in the field of agriculture and irrigation structures | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Has the ability to understand the interaction between irrigation and agricultural structures and related disciplines | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Qualified in devising projects in agricultural structures and irrigation systems. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Conducts land applications,supervises them and assures of development | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Has the ability to support his specilist knowledge with qualitative and quantitative data. Can work in different disciplines. | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Solves problems by establishing cause and effect relationship | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Has the ability to apply theoretical and practical knowledge in the field of agricultural structures and irrigation department | 4 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Able to carry out a study independently on a subject. | 2 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Has the ability to design and apply analytical, modelling and experimental researches, to analyze and interpret complex issues occuring in these processes. | 5 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Can access resources on his speciality, makes good use of them and updates his knowledge constantly. | |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Has the ability to use computer software in agricultural structures and irrigation; can use informatics and communications technology at an advanced level. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Nomenclature, regionalized variable theory and stationarity assumptions. | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Nomenclature, regionalized variable theory and stationarity assumptions (Cont.) | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | Stationary assumptions. | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 4 | Spatial correlation structure analysis | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 5 | Semivariogram analysis | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 6 | Matheron model types, parameter estimation, and cross validation techniques. | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 7 | Matheron model types, parameter estimation, and cross validation techniques (Cont.) | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 8 | Mid-Term Exam | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Best Linear Unbiased Estimation (BLUE) at unsampled locations: point kriging, block kriging. | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | Best Linear Unbiased Estimation (BLUE) at unsampled locations: point kriging, block kriging (Cont.) | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Spatial mapping: Kriging estimation and kriging error maps. | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 12 | Spatial mapping: Kriging estimation and kriging error maps (Cont.) | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 13 | Interpretations of results. | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Applications to the up-to-date and real data of hydrology and natural resources. | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | Applications to the up-to-date and real data of hydrology and natural resources (Cont.) | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 16 | Term Exams | Studying in detail the relevant chapters in different sources such as books, reports or scientific papers; reviewing and reading articles related to the subject from scientific journals | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||