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.

Topic(s)

-Statistics
-Geostatistics
-Point pattern analysis and cluster detection
-Interpolation
-Data models in geodatabases
-Analysis of continuous fields
-Analysis of discrete entities
-Organisation and presentation of analyses

Teaching Methods

Lectures
E-learning
Exercises

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

Grading Scale

Alphabetical Scale, A(best) – F (fail)

External/internal examiner

- Internal examiner.
- External moderators regularly assist in reviewing content and evaluating arrangements for grading assessment

Re-sit examination

No re-sit examination

Coursework Requirements

2 mandatory assignments that must be approved.

Teaching Materials

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.