Short Course Description
Advanced Quantitative Methods in Geography
Prof. Itzhak Benenson
Course description: This course aims at learning and practicing advances statistical methods of special analysis. The methods are applied to exemplar problem of social and physical geography.
The course meetings include lectures and class/home exercises that demand the knowledge of SPSS and ArcGIS software, see prerequisite courses.
Each part of the course is accompanied by the class/home exercises.
The course score is based on the exercises scores.
Attendance: compulsory
Prerequisites:
SPSS, Advanced GIS, Research methods (undergraduate course)
Exercises:
Exercise are the part of the course. Exercises are published once in two weeks, total 6 exercises. Exercise report should be submitted in two weeks after the exercise is published.
Couse content:
- Review of the basic notions of statistics and statistical inference
Analysis of multi-dimensional data
- Multiple regression, including forward/stepwise/backward regression
- Non-linear regression
Dimensionality reduction
- Principal component analysis and Factor analysis
- Cluster analysis
Geostatistics
- Variogram and cross-variogram
- Kriging
Bibliography
1. de Smith, M.J., M.F. Goodchild, P.A. Longley, 2010 Geospatial Analysis , Troubador Publ., UK, see http://www.spatialanalysisonline.com/ for the on-line version and examples
2. Krivoruchko, K, 2011, Spatial Statistical Data Analysis for GIS Users, ESRI (digital edition), available in the Geography Dept library, includes data layers
Full Syllabus
