Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits 9201115122005 Spatıal Analysıs Wıth Geostatıstıcs Elective 1 2 4
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
 1 Apply spatial statistical techniques to geographical problems 2 Process spatial data, extract explanatory variables, conduct some statistical tests, and explain their results 3 Efficently use geostatistics and spatial statistics softwares 4 Integrate geostatistical and spatial statistical techniques with GIS environment 5 Identify 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
 Week Theoretical Practice Laboratory 1 Spatial and non-spatial data Lecture 2 Data collection for geographical analysis Lecture 3 Inferential statistics of geographical data Lecture 4 Point patern analysis Lecture + practise 5 Cluster analysis and autocorrelation Lecture + practise 6 Spatial regression and geostatistical models Lecture + practise 7 Geographically weighted regression Lecture + practise 8 Spatial interaction models Lecture + practise 9 Midterm Exam 10 Kriging I Lecture 11 Kriging II Lecture + practise 12 Kriging III Lecture + practise 13 Other continous surface models Lecture + practise 14 Exercise Practise 15 Exercise Practise 16 Final Exam
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 Activities Quantity Weight SUM 0 End Of Term (or Year) Learning Activities Quantity Weight SUM 0 SUM 0
Language of Instruction
Turkish
Work Placement(s)
None