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FSK-3012 Geographical Information Systems for Coastal and Marine Resource Management - 10 ECTS
The course is an advance course in GIS that will enable the students to make use of the system in coastal and marine resource management and research. Students shall study relevant theories, methods and research design related to application of GIS in the field(s) related with the student's own master thesis or own interests in social sciences - related to fisheries and marine resource management.
The course covers topics like understandings of GIS as tool versus science and studies, spatial thinking in the context of marine governance, representing real world in GIS (conceptual and GIS data model), different methods of data input and data editing, data quality issues and database management. A larger section of the course is devoted to spatial analytical methods and the applications of GIS in coastal and marine environments. Students are trained in model building and basic python programming in GIS. The course will also introduce the students to qualitative and critical GIS. Further, it focuses on sources of errors and uncertainties in GIS in general, and challenges of use of GIS in fisheries and marine governance in particular.
The course will mainly use ESRI ArcGIS, but open-source alternatives (e.g. QGIS, ILWIS, GRASS and R) will also be introduced and used.
The course is organized in theoretical and practical module. Lectures introduce the theoretical aspects; computer labs provide the hands-on experience with professional GIS software.
The course aims at offering students in-depth theoretical and practical insights in the application of GIS in social sciences related to fisheries and marine resource management. Students are made to reflect upon relevant GIS methods that could be relevant for their own master thesis project or in related theme.
Intended learning outcomes:
On completion of the course, the student should have the following learning outcomes:
- has in-depth understanding of conceptual issues on costal and marine spatial thinking
- understands what GIS is and its application in costal and marine resource management
- understands how real world is represented in GIS and how maps are used in coastal and marine resource management
- explains how GIS and social science research can be effectively integrated in marine resource management and demonstrate the use of GIS in mixed method research
- learns to use GIS as an instrument in spatial planning, particularly in coastal zone and marine spatial planning
- discuss critically questions related with quality of spatial data and uncertainties in spatial analysis
- understands theoretical and methodological challenges of using GIS in marine resource governance
- learns basic to advanced spatial analytical methods, including basics of model building and python programming in GIS
- learns how to conduct participatory mapping exercises, and theoretical and practical aspect of Public participation GIS (PPGIS)
- learns basic visualization techniques and the key map design principles
- can develop a spatial question related to students own interest in fisheries and marine resource governance
- uses and develop skills to master GIS software (such as ArcGIS, QGIS, ILWIS, R) to process, analyze and present spatial information
- can find, collect, and organize data for use in GIS
- can design and carry out own GIS analysis in the field of fisheries and marine resource governance
- can identify sources of errors and uncertainties in a GIS project and correct them accordingly
- can develop basic models using different analytical tools in GIS
- can use web GIS (mapping) applications/tools
- can apply spatial reasoning
- can communicate GIS outputs to support decision-making
- is familiar with basic functions of ArcGIS
- can identify the role, benefits, limitations and applications of GIS in studying fisheries and other coastal and marine resources management
Date for examinationTerm paper hand out date 27.11.2019 hand in date 04.12.2019
The date for the exam can be changed. The final date will be announced in the StudentWeb early in May and early in November.