statistics

Module No.  
Module name  
P 4 
Statistical Methods and GIS 
Module coordinator 
Prof. Dr.  Dieter R. Pelz    Email: pelz@biom.uni-freiburg.de  
Additional teaching staff 
Prof. Dr. Barbara Koch, Dr. K.P Gross 
Syllabus 
Introduction to statistical methods and GIS: 
- statistical tests, analysis of variance, nonparametric statistics 
- experimental design and analysis (completely randomized, randomized block, latin squares, 
   split plot, factorial experiments etc.) 
-  regression analysis , simple linear regression, multiple regression, logistic regression 
Introduction to Geographic Information Systems. Applications with ARC GIS 
 
Learning goals and qualifications 
At the completion of the course the students should be able to design experiments and 
analyse data from these experiments with standard statistical analysis programs. Major 
emphasis is placed on the prerequisites for using the methods and on the interpretation of the 
results. 
In GIS students should be able to build a GIS model for specific areas and analyse the results. 

---

 
Teaching and learning methods 
Lectures, computer exercises, e-learning module on statistics 
Prerequisites 
Basic course in statistics, basic introduction to GIS  
Requirements for registration 
none 
Distribution of work load  
Contact hours               80 h (Lectures, pracs, excursion, exam) 
Student learning          45 h (Preparation, reading etc.) 
Proposed assessment 
Written examination 
Link to learning resources  
 
Preliminary Reading 
 
Comments 
 
 
 

---