Master in Spatial Analysis and Enviromental Management

Spatial Analysis

Course goal

Students gain proven knowledge and understanding with respect to the field of spatial analysis. They are in a position to use the knowledge and understanding acquired in order to solve problems. They are in a position to disseminate information, ideas, problems and solutions to expert as well as non-expert audience.

YES Search, analysis and synthesis of data and information by using necessary technologies.
YES Adaptation to new situations.
YES Decision making
YES Autonomous work
NO Team work
NO Working within an international context.
YES Interdisciplinary work
NO Producing new research ideas.
NO Project planning and management.
NO Respecting diversity and multicultural aspects.
YES Respecting the natural environment
NO Showing social, professional and ethical responsibility as well as sensitivity to sex issues.
YES Applying criticism and self-criticism
YES Promoting free, creative and deductive thinking.

Course subject

The course focuses on studying phenomena that have spatial dimensions. A brief review of the basic statistical concepts and methods is done. An analysis of the fundamental problems related to spatial data is also included. Advanced analysis and modeling methods are presented. The content of the course is in specific:

1. Introduction in descriptive statistics
2. Linear regression – correlation
3. Factor analysis – principal components analysis
4. Classification and grouping of spatial data
5. Spatial indexes for specializations
6. Local correlation and spatial autocorrelation
7. Pattern analysis (clustering – dispersion)
8. Fundamental problems (MAUP, Ecological fallacy etc)
9. Geographically Weighted Regression
10. Interpolation (points, lines, areas)
11. Geovisualization as an analytical method
12. Urban spatial metrics
13. Cellular Automata


Written examination at the end of the semester.


  • Longley P., Goodchild M., Maguire D. and D. Rhind, 2010, Geographic Information Systems and Science, John Wiley & Sons, p. 560.
  • Καλογήρου, Σ., Γεωργάνος, Σ. και Μπουντζουκλής, Χ., 2013, Εφαρμογές Χωρικής Ανάλυσης με το Στατιστικό Πακέτο R: Η επίδραση της εγκληματικότητας στις αξίες ακινήτων, Αθήνα: Σταμάτης Καλογήρου. ISBN:978-960-93-5590-2
  • Burrough P. A., and R. McDonnell, 1998, Principles of Geographical Information Systems, Oxford University Press, p. 356.
  • Yoo, E.-H., Kyriakidis, P, Tobler, W, 2010, Reconstructing population density surfaces from areal data: A comparison of tobler's pycnophylactic interpolation method and area-to-point Kriging, Geographical Analysis, Volume 42, Issue 1, January 2010
  • Σταθάκης Δ., 2009, Σημειώσεις Συστημάτων Γεωγραφικών Πληροφοριών, ΠΘ, ΤΜΧΠΠΑ.
  • Συναφή επιστημονικά περιοδικά: International Journal of Geographical Information Science