GIS for Bachelor’s of Engineering
Overall Course Objectives
To introduce the basic concepts of Geographical Information Systems (GIS). To give an insight into spatial information and geodata.
See course description in Danish
Learning Objectives
- Analyze GIS data structures and algorithms, and assess and optimize their suitability for specific geospatial problems.
- Collect, manipulate and analyze spatial data
- Integrate and evaluate data from Danish geodatabases for advanced vector and raster analyses.
- Design and implement basic GIS applications with specific requirements for geospatial data and functionality.
- Combine and adapt geometric operations in vector and raster for complex spatial analyses.
- Develop and communicate maps with geospatial analyses for various purposes and audiences.
- Develop models to automize analysis using Model Designer
- Create queries on spatial data
Course Content
Introduction to GIS
Data types and data structures
Geodata – Sources, formats and quality assurance of geospatial data.
Data collection
• Digitization – basic methods for digitization
• Creation of data layers for vector data with attribute tables
• Creation of projects with forms for data collection
• Collection / editing of data with GPS on mobile phone
• Processing drone data for orthophoto, surface model and point cloud
• Georeferencing
Visualization of geodata
• Symbolizing vector, raster and point cloud data
• Setting up layout for maps and posters
Geoprocessing and Expressions
• Use of geoprocessing tools such as: Buffer, Clip, Difference, Intersection etc.
• Use of expressions in: Selections, labels, symbology, field- and raster calculator
Model designer
Raster data
• Simple calculations of indices with satellite data
• Export raster data
• Clip raster data with vector data
• Calculate slope and aspect on terrain data
• Raster calculation for volume
• Symbolize raster data
• Convert raster to vector data
Route calculation
• Simple route calculation with ORS
• Simple calculation of isochrones
Introduction to point cloud data (point cloud)
• Load point cloud
• Color point cloud based on different values
• View in 3D
Open Source programs QGIS and WebODM are being used as platforms
Recommended prerequisites
01901/01910
Teaching Method
Preparation with videos and exercises.
Lectures and exercises.




