AG2927 Geodata Quality and Adjustment Theory
KTH Royal Institute of Technology
A completed bachelor’s degree in civil engineering, urban planning, geomatics, geography, engineering physics, computer science, statistics, economics, and/or mathematics
Documented knowledge in Geodetic Surveyin corresponding to the content in cours AG1818 together with Eng B/6 according to the Swedish upper secondary school system.
- Different quality aspects in geodata
- Quality assurance actions
- Quality of measurement data: precision, precision and reliability
- Measurement error and the law of error propagation
- Error ellipse and error ellipsoid
- The least-squares method
- Condition adjustment
- Adjustment elements
- Generalised matrix inverses and free network adjustment
- Gross error detection, local redundancy and reliability
After the course, the student should
- understand different quality aspects of geodata and its importance for GIS-applications
- be able to evaluate geodatabases and design appropriate measures for quality assurance actions
- be familiar with measurement error and computation of error propagation
- be able to apply the least squares method to adjust measurement data
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