

Contents


Week 1: 
Introduction to geographic analysis concept. 
Week 2: 
Space geometry, geographic data structures and raster/vector representation. 
Week 3: 
Topology concept and geographic relations (4IM, 9IM). 
Week 4: 
Application for Problem solving with geographic processing model. Homework. 
Week 5: 
The set theory and boolean algebra, vector overlay analysis such as union, intersect, difference. 
Week 6: 
Graph Theory and management of network data structure in GIS. Homework.

Week 7: 
Network Analysis connectivity, shortest path, and service area.

Week 8: 
Measurement of spatial distributions mean center, median center, central feature, standard distance, weighted standard distances. Midterm Examination. Homework. 
Week 9: 
Density Analysis lineer, kernel. 
Week 10: 
The structure of Triangular Irregular Network (TIN) and the production of Digital Terrain Model. Homework. 
Week 11: 
Interpolation Methods IDW, Spline, Natural Neighbor.

Week 12: 
Surface Analysis slope, aspect, viewshed, hillshade. Homework. 
Week 13: 
Map algebra, geographic weights and neighborhood analysis. 
Week 14: 
General evaluation of analysis and statistical techniques. Homework and presentation. 
Week 15*: 
 
Week 16*: 
Final Examination. 
Textbooks and materials: 
Ders eğitim platformları ( http://arifcagdas.com/dersler/ )  Ders online eğitimi ve materyalleri (MS Teams)  Ders materyalleri ve değerlendirme ortamı (Moodle)
Değerlendirme Notu: 6 ödev/uygulamanın en az 3'ünü teslim etmek ders yükümlülüğüdür /(VF) ve derse katılım esaslarına uyulmalıdır (NA) Evaluation Note: Submitting at least 3 of 6 assignments/applications is a course obligation (VF) and class participation principles must be followed (NA). 
Recommended readings: 
 Worboys, M, Duckham, M., GIS : A Computing Perspective, Second Edition, CRC Press, 2004.Diestel, R., 2006. Graph Theory Graduate Texts in Mathematics, Springer, ISBN10 3540261834, NY, USA.  Kainz, W., The Mathematics of GIS, V.2.1, Textbook, University of Vienna, 2010.  Smith, M. J de, Goodchild, M.F., Longley, P.A., Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools, Second Edition, British Library Catalogue, 2007.  Anselin, L., Rey, S. J., Perspectives on Spatial Data Analysis, Springer, ISBN: 9783642019753, 2010.  Lloyd, C., Spatial Data Analysis: An Introduction to GIS Users, Oxford University Press, ISBN: 9780199554324, 2010.  Robert P. Haining, Spatial data analysis: theory and practice.  Sullivan, D., Unwin, D. J., 2010. Geographic Information Analysis, Wiley, ISBN: 9780470288573 

* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

