Spatial Statistics
|
Kind of lesson |
Theoretical |
|
Teaching hours (weekly) |
2 |
|
ECTS Credits |
5 |
|
Typical semester |
2nd – optional |
|
Coordinator |
P. Iliopoulou, Professor at the University of Western Attica, Department of Surveying and Geoinformatics Engineering |
Aims and objectives
The course aims to present statistical methods which are used for the analysis, interpretation and modeling of spatial data. Application of the methods is performed with GIS and statistical analysis software. Methods comprise:
- Sampling techniques for the collection of spatial data
- Methods of exploring point patterns and analysis of spatial processes
- Analysis of spatial data in polygons
- Multivariate methods of analysis
Course description
Spatial Sampling (random, systematic, stratified), exploration of spatial patterns, point pattern analysis, geostatistical indices, identification of clusters in geographic space, analysis of spatial data (polygons), measures of spatial autocorrelation, trend surface analysis, models of spatial regression, special types of regression models, classification of spatial data (cluster analysis, discriminant analysis).