TS552 Applied Geostatistics

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code TS552
Name Applied Geostatistics
Term 2024-2025 Academic Year
Semester . Semester
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 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

Update Time: 13.05.2024 02:03