TS552 Applied Geostatistics

6 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit
Information About Course

Information
Goal, Content & Resources
Course Learning Outcomes
Relation with Program Learning Outcome
Week Plan
Student Workload - ECTS

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
AGRICULTURAL STRUCTURES AND IRRIGATION (MASTER) (WITH THESIS)
Code TS552
Name Applied Geostatistics
Term 2018-2019 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
The current term course schedule has not been prepared yet.


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

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the basic principles of regionalised variables theory and applies them to natural resources.
LO02 Knows 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 and make optimum sampling design


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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
17 Term Exams


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 8 8
Final Exam 1 30 30
Total Workload (Hour) 150
Total Workload / 25 (h) 6,00
ECTS 6 ECTS

Update Time: 05.05.2025 02:49