SOSGEO4023 – Advanced spatial analysis

Knowledge objectives

Throughout this course, you will acquire in-depth knowledge about:

• Understand the unique characteristics of spatial data and their implications for analysis.
• Learn how to collect, manage, and process spatial data from diverse sources.
• Develop an understanding of spatial visualization techniques and cartographic principles.
• Gain an in-depth understanding of advanced spatial analytical methods, including spatial regression, cluster detection, and network analysis.

Skill objectives

Throughout this course, you will learn how to:

• Use GIS and statistical software to analyze spatial data.
• Apply spatial analysis methods in research projects.
• Critically evaluate spatial analysis results and their sources of uncertainty.
• Integrate spatial data with non-spatial datasets for comprehensive analysis.

General competence

This course will enable you to:

• Complete a research project where GIS will be used to study socio-spatial phenomena.
• Import and analyze spatial data in the social sciences.
• Communicate spatial analysis findings effectively using maps.
• Critically assess the strengths and limitations of spatial methods in different research contexts.

Admission to the course is dependent on admission to a master’s degree programme at the Department of Sociology and Human Geography.

The course is open to master specialisation in didactics for social science in the Teacher Education Programme (Lektorprogrammet) - please see the link for information regarding admission.

If you are sick or have another valid reason for not attending the regular exam, we offer a postponed exam later in the same semester.

See also our information about resitting an exam.