Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
9201115122005Spatıal Analysıs Wıth GeostatıstıcsElective124
Level of Course Unit
Second Cycle
Objectives of the Course
Aim of this course is to provide to students necessary skills for using geostatistical techniques in their projects after fundamental concepts of geostatistics.
Name of Lecturer(s)
Assist. Prof. Dr. M.Kirami ÖLGEN
Learning Outcomes
1Apply spatial statistical techniques to geographical problems
2Process spatial data, extract explanatory variables, conduct some statistical tests, and explain their results
3Efficently use geostatistics and spatial statistics softwares
4Integrate geostatistical and spatial statistical techniques with GIS environment
5Identify types and characterize non-spatial and spatial data
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Course Content is; Data collection for geographical analysis, Local analysis, Point pattern analysis, Spatial regression and geostatistical models, Statistical inferences of geographical data, Multi criteria decision analysis (MCDA), Geographical MCDA, Ordinary kriging, simple kriging, universal kriging, indicator kriging, probability kriging, cokriging and Semivariograms
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Spatial and non-spatial dataLecture
2Data collection for geographical analysisLecture
3Inferential statistics of geographical dataLecture
4Point patern analysisLecture + practise
5Cluster analysis and autocorrelationLecture + practise
6Spatial regression and geostatistical modelsLecture + practise
7Geographically weighted regressionLecture + practise
8Spatial interaction modelsLecture + practise
9Midterm Exam
10Kriging ILecture
11Kriging IILecture + practise
12Kriging IIILecture + practise
13Other continous surface modelsLecture + practise
14ExercisePractise
15ExercisePractise
16Final Exam
Recommended or Required Reading
Jacek Malczewski, GIS and multicriteria decision analysis, 1999, Wiley Trevor C. Bailey and Anthony C. Gatrell, Interactive spatial data analysis, 1995, Wiley Pacione, M. (ed), 1999, Applied Geography: Principles and practice, Routledge Robinson, G. M., 1998, Methods and techniques in human geography, Wiley Fotheringham, A.S., Brunsdon, C., ve Charlton, M., 2000, Quantitative Geography: perspectives on spatial data analysis, Sage Pub. ESRI, 2001,Using ArcGIS Geostatistical Analyst, ESRI Press
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination133
Final Examination144
Attending Lectures14456
Practice8216
Self Study8216
Individual Study for Mid term Examination5315
Individual Study for Final Examination5210
TOTAL WORKLOAD (hours)120
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
PO
11
PO
12
PO
13
PO
14
LO1              
LO2              
LO3              
LO4              
LO5              
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr