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FACULTY of ARCHITECTURE / DEPARTMENT of URBAN and REGIONAL PLANNING

Course Catalog
https://www.ktu.edu.tr/sbp
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MİMF
FACULTY of ARCHITECTURE / DEPARTMENT of URBAN and REGIONAL PLANNING
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 
SBP2024SPATIAL DATA ANALYSIS2+0+0ECTS:4
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of URBAN and REGIONAL PLANNING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 2 hours of lectures per week
LecturerDr. Öğr. Üyesi Berna Sezen ÖZEN
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
Mapping/associating the spatial distributions of social (population, socio-economic, etc.) and physical (climate, topography, etc.) data related to the space, understanding spatial patterns and processes, visualization and evaluation in both regional and urban scales
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : Able to learn the means for spatial data collection, database creation, mapping 12 - 18 - 19 - 211,6,
LO - 2 : Able to qualify themselves on the analysis, synthesis/inquiry/interpretation of spatial data and on database creation for planning (threshold analysis, etc.) 12 - 18 - 19 - 211,6,
LO - 3 : Able to analyse and interpret spatial/temporal distribution/change of social/human data12 - 18 - 19 - 211,6,
LO - 4 : Able to analyse and interpret spatial/temporal distribution/change of physical data12 - 18 - 19 - 211,6,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Use/production of spatial data in different scales in planning; digital database, data processing, spatial analysis and GIS, spatial/temporal distribution/change of social/human data, spatial/temporal distribution/change of physical data, analysis of data, synthesis/inquiry/interpretation and database creation for planning, threshold/suitability analysis
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction, aim and context of the course and general information about related readings and resources.
 Week 2The importance of using/producing spatial data in planning.
 Week 3Spatial data sources and digital databases, data processing, spatial analysis and GIS overview Mapping of spatial data
 Week 4Spatial/temporal distribution/change of social/human data - 1: Population size, dynamics, change, movements/migration
 Week 5Spatial/temporal distribution/change of social/human data - 2: Age and gender, life indicators, etc.
 Week 6Spatial/temporal distribution/change of social/human data - 3: Socioeconomic components/data/indicators: Employment, education, development indicators, etc.
 Week 7Spatial/temporal distribution/variation of physical data-1: Natural environment
 Week 8Spatial/temporal distribution/change of physical data - 2: Natural environment (continued)
 Week 9MIDTERM EXAM
 Week 10Spatial/temporal distribution/variation of physical data - 3: The built environment.
 Week 11Spatial/temporal distribution/variation of physical data - 4: The built environment (continued)
 Week 12Data analysis, synthesis/interpretation/commentary, and creating a basis for plans. Risk, threshold, screening, suitability analyses, synthesis and interpretation.
 Week 13Data analysis, synthesis/interpretation/commentary, and creating a basis for plans Risk, threshold, filter, suitability analyses, Synthesis creation and interpretation TERM PAPER SUBMISSION
 Week 14General assessment and discussions
 Week 15National Holiday: The Commemoration of Atatürk, Youth and Sports Day
 Week 16FINAL EXAM
 
Textbook / Material
1Haining, B. 2003; Spatial Data Analysis: Theory and Practice, Cambridge University Press
2Aydemir, Ş. 2022. Kent ve Bölge Planlama Teknikleri. Sayısal ve Sayısal Olmayan Teknikler. Beykoz Üniversitesi Yayınları.
3Alkay, E. 2014. Şehir planlamada analiz ve değerlendirme teknikleri. Literatür yayıncılık.
4Dickinson, G. C. 1973; Statistical Mapping and the Presentation of Statistics,Edward Arnold, London
 
Recommended Reading
1Fischer, M. M., Wang, J. 2011; Spatial Data Analysis: Models, Methods and Techniques, SpringerBriefs in Regional Science
2Çubukçu, K. M., 2008; Planlamada Klasik Sayısal Yöntemler, Nobel Yayıncılık, Ankara
3Çubukçu, K. M., 2019; Planlamada ve Coğrafyada Temel İstatistik ve Mekansal İstatistik, Ankara: Nobel Yayıncılık
4Koramaz, K. 2019. Kentsel Planlamada Anlatım Teknikleri. Ninova Yayıncılık.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 07/04/2026 2 30
Homework/Assignment/Term-paper 13 05/05/2026 2 20
End-of-term exam 16 01/06/2026 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 2 14 28
Sınıf dışı çalışma 2 14 28
Arasınav için hazırlık 2 8 16
Arasınav 2 1 2
Ödev 1 13 13
Dönem sonu sınavı için hazırlık 2 6 12
Dönem sonu sınavı 2 1 2
Total work load101