Spatial and Temporal Pattern Analysis
The purpose of this course is to introduce students to the concepts, terminology and methods related to analysis of spatial and temporal patterns in digital data. The course will discuss and analyze how patterns can be identified, measured and tested statistically through a series of lectures, hands-on exercises and student presentations. At the end of the course students will be able to identify and describe geographical and temporal distributions, to measure the patterns formed by time series, point- and areal data, and to statistically analyze data for spatio-temporal clustering, hot spots, break points, and spatio-temporal variations in explanatory variables for the observed phenomena.
The course is composed of a mix of lectures, hands-on exercises and student presentations of studies using different indicators of spatial and temporal patterns. The main focus is on methodological issues and students’ involvement in classroom discussions is pivotal. A portfolio assignment developed through the course forms the basis for an oral examination.
MSc Programme in Geography and Geoinformatics
MSc Programme in Geography and Geoinformatics with a minor subject
The course will dominantly focus on hands-on exercises
supplemented by student and teacher presentations and classroom
For the teaching plan, please see Absalon.
Please see Absalon.
BSc in Geography and Geoinformatics or equivalent is recommended.
- 7,5 ECTS
- Type of assessment
Written assignment, OngoingOral examination, 20 minutes.
- Type of assessment details
- A written assignment is prepared during the course and must be handed in prior to the exam week. The oral exam uses the written assignment as its point of departure to explore the readings listed in the officially approved reading list. A combined grade is given after the oral exam.
- Without aids
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
Criteria for exam assessment
Please see learning outcomes
Single subject courses (day)
- Theory exercises
- Course number
- 7,5 ECTS
- Programme level
- Full Degree Master
- Block 2
The number of seats may be reduced in the late registration period
- Study Board of Geosciences and Management
- Department of Geoscience and Natural Resource Management
- Faculty of Science
- Stéphanie Marie Anne F Horion (3-76706b436c6a71316e7831676e)
Martin Rudbeck Jepsen
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