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| SBP2000 | SPATIAL DATA ANALYSIS | 2+0+0 | ECTS:4 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of URBAN and REGIONAL PLANNING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Aygün ERDOĞAN | | Co-Lecturer | | | Language of instruction | Turkish | | 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 Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Learn the means for spatial data collection, database creation, mapping | 12,18,19,21 | 6, | | LO - 2 : | Qualify themselves on the analysis, synthesis/inquiry/interpretation of spatial data and on database creation for planning (threshold analysis, etc.) | 12,18,19,21 | 1,6, | | LO - 3 : | Analyse and interpret spatial/temporal distribution/change of social/human data | 12,18,19,21 | 1,6, | | LO - 4 : | Analyse and interpret spatial/temporal distribution/change of physical data | 12,18,19,21 | 1,6, | | 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 | | |
| 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 |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Context of the course and the importance of the use/production of spatial data in planning | | | Week 2 | Spatial data sources and digital databases, data processing, spatial analysis and GIS | | | Week 3 | Mapping of spatial data | | | Week 4 | Spatial/temporal distribution/change of social/human data-1: Population, its dynamics, changes, movements/migration
| | | Week 5 | Spatial/temporal distribution/change of social/human data-2: Age and gender, life indicators etc. | | | Week 6 | Spatial/temporal distribution/change of social/human data-3: Socio-economic components/data/indicators: Employment, education, development indicators, etc. | | | Week 7 | Spatial/temporal distribution/change of physical data-1: Built environment | | | Week 8 | Spatial/temporal distribution/change of physical data-2: Built environment (cont.) | | | Week 9 | MIDTERM EXAM WEEK | | | Week 10 | Spatial/temporal distribution/change of physical data-3: Natural environment | | | Week 11 | Spatial/temporal distribution/change of physical data-4: Natural environment (cont.) | | | Week 12 | Analysis of data, synthesis/inquiry/interpretation and database creation for planning | | | Week 13 | Threshold/suitability analysis-1: Preparation of built and natural environmet data for threshold/suitability analysis | | | Week 14 | Threshold/suitability analysis-2: Creation of threshold/suitability synthesis and its interpretation | | | Week 15 | Resitation week | | | Week 16 | FINAL EXAM | | | |
| 1 | Haining, B. 2003; Spatial Data Analysis: Theory and Practice, Cambridge University Press | | | 2 | Aydemir, Ş. 1989; Planlama Teknikleri Ders Notu, KTÜ; Trabzon | | | 3 | Dickinson, G. C. 1973; Statistical Mapping and the Presentation of Statistics,Edward Arnold, London | | | |
| 1 | Fischer, M. M., Wang, J. 2011; Spatial Data Analysis: Models, Methods and Techniques, SpringerBriefs in Regional Science | | | 2 | Çubukçu, K. M., 2015; Planlamada Klasik Sayısal Yöntemler, Nobel Yayıncılık, Ankara | | | 3 | Çubukçu, K. M., 2015; Planlamada ve Coğrafyada Temel İstatistik ve Mekansal İstatistik, Ankara: Nobel Yayıncılık | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 19/04/2024 | 2 | 25 | | Homework/Assignment/Term-paper | 1
3
5
7
10
12 | 23/02/2024
08/08/2024
22/03/2024
05/04/2024
26/04/2024
10/05/2024 | 2
2
2
2
2
2 | 25 | | End-of-term exam | 16 | 07/06/2024 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (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 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 0 | 0 | 0 | | Arasınav | 2 | 1 | 2 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 3 | 12 | 36 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 6 | 2 | 12 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 108 |
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