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Course module: GEO4-4412
GEO4-4412
Statistics and data analysis in Physical Geography
Course info
Course codeGEO4-4412
ECTS Credits7.5
Category / LevelM (Master)
Course typeCourse
Language of instructionEnglish
Offered byFaculty of Geosciences; Graduate School Geowetenschappen; M Earth Sciences;
Contact persondr. ir. G. Sterk
E-mailg.sterk@uu.nl
Lecturers
Lecturer
prof. dr. ir. F.C. van Geer
Feedback and availability
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Lecturer
dr. ir. G. Sterk
Other courses by this lecturer
Contactperson for the course
dr. ir. G. Sterk
Other courses by this lecturer
Teaching period
1  (05/09/2011 to 13/11/2011)
Teaching period in which the course begins
1
Time slotC: MON-afternoon, TUE-afternoon,THU-morning
Study mode
Full-time
Remark

Course schedules Geosciences

Enrolment periodfrom 15/08/2011 up to and including 16/08/2011
Course application processOsiris
Enrolling through OSIRISYes
Enrolment open to students taking subsidiary coursesYes
Pre-enrolmentNo
Waiting listNo
Course placement processStudiepunt/Student desk
Course goals
Contents: - Elementary statistics (population distributions, t-test, F-test, covariance, correlation, ANOVA) - (Multiple) linear regression - Multivariate analysis - Geostatistics Aims: This course aims at preparing students for thesis research and introduces several statistical techniques for data analysis. The course starts with a refresher of elementary statistics, with subjects like characteristics of population distributions, covariance, correlation, t-test, F-test, analysis of variance (ANOVA), and linear regression. The course continues with two multivariate analysis techniques: multiple regression and Principle Component Analysis (PCA). The last part of the course is devoted to the statistics of spatial data (geostatistics). The spatial correlation between data points will be modeled with the variogram and kriging techniques will be used for spatial prediction and modeling. Using geostatistical principles, the setting up and evaluation of sampling and monitoring strategies will be presented. The software used during computer practicals is Microsoft EXCEL for the elementary statistics and `R' for multivariate analysis and geostatistics. For students from a different background then physical geography (e.g. social geography) there is a possibility to replace the geostatistical module with a module on non-parametric statistics. By the end of the course, the student will : - Have a thorough understanding of elementary statistical techniques for analysis of data originating from the physical geography domain; - Be able to analyse and solve elementary statistical problems in het physical geography domain; - Have a thorough understanding of geo-statistical techniques for analysis of spatial data; - Be able to analyse and solve geo-statistical problems in het physical geography domain.
Content

Contents:
-         Elementary statistics (population distributions, t-test, F-test, covariance, correlation, ANOVA)
-         (Multiple) linear regression
-         Multivariate analysis
-         Geostatistics

Aims:
This course aims at preparing students for thesis research and introduces several statistical techniques for data analysis. The course starts with a refresher of elementary statistics, with subjects like characteristics of population distributions, covariance, correlation, t-test, F-test, analysis of variance (ANOVA), and linear regression. The course continues with two multivariate analysis techniques: multiple regression and Principle Component Analysis (PCA). The last part of the course is devoted to the statistics of spatial data (geostatistics). The spatial correlation between data points will be modeled with the variogram and kriging techniques will be used for spatial prediction and modeling. Using geostatistical principles, the setting up and evaluation of sampling and monitoring strategies will be presented. The software used during computer practicals is Microsoft EXCEL for the elementary statistics and ‘R’ for multivariate analysis and geostatistics.

For students from a different background then physical geography (e.g. social geography) there is a possibility to replace the geostatistical module with a module on non-parametric statistics.

By the end of the course, the student will :
- Have a thorough understanding of elementary statistical techniques for analysis of data originating from the physical geography domain; 
- Be able to analyse and solve elementary statistical problems in het physical geography domain; 
- Have a thorough understanding of geo-statistical techniques for analysis of spatial data;
- Be able to analyse and solve geo-statistical problems in het physical geography domain.

Entry requirements
You must have a valid study entrance permit
Prerequisite knowledge
Basic knowledge of elementary statistics.
Required materials
Book
Statistics and Data Analysis in Geology (J.C. Davis, 2002. Wiley, New York).
Handouts
-
Instructional formats
Computer practicals

Lectures

Tutorials

Tests
Final result
Test weight100
Minimum grade-

Assessment
Assessment: Two tests each 50%.

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