Objectives
The course aims at deepening students understanding and practical skills of geospatial data management, including data capture, maintenance, updating, quality assessment, data sharing and visualization.
After completing the course, the students will:
- have scientific and practical understanding of the importance of geospatial data management and geovisualisation to support culture of open science and open data sharing.
- have practical skills in geospatial data capture, maintenance, updating, quality assessment, data sharing and visualization, and capabilities of automating geospatial data processes and analyses using for example QGIS, Python, JypyterLab, GitHub, Geoserver and Geonode.
- have skills in using standardized methods of data management and data quality assessment and applying their skills in the assessment of different types of geospatial data sets
- have improved geovisualization skills and confidence in visualizing data for different end-users
- have improved scientific and work life skills in group working, problem-solving, writing, presenting, argumenting and reporting results in English
- Opettaja
Iiro Seppä