On the basis of
GEO1121 - GIS Intro
Expected learning outcomes
This course further elaborates analysis methods based on a basic understanding of geodatabases and elementary statistics. Students are to be capable of complex GIS analysis and of evaluating the accuracy of results. Emphasis is on how to pre-process data, on the use of statistical methods and on functionality in standard GIS software. Students also gain an insight into GIS in decision-making support and how analyses should be communicated and presented.
-Point pattern analysis and cluster detection
-Data models in geodatabases
-Analysis of continuous fields
-Analysis of discrete entities
-Organisation and presentation of analyses
Teaching Methods (additional text)
The course is conducted as net based learning. This implies that all communication between tutor and student takes place in a learning management system and lectures and guidance will be made available here.
For full-time students at campus there will be offered weekly hours for guidance and lectures.
Form(s) of Assessment
Home exam, 12 hours
Alphabetical Scale, A(best) – F (fail)
- Internal examiner.
- External moderators regularly assist in reviewing content and evaluating arrangements for grading assessment
No re-sit examination
2 mandatory assignments that must be approved.
Christopher D. Lloyd, Spatial Data Analysis ISBN 978-0-19-955432-4.
A complete list will be available in the Study Guide at startup time.