Units
1. Introduction to Artificial Intelligence and Verification Discipline in Mapping Engineering 2. Geodesy, GNSS and Survey Data Processing 3. Coordinate Systems, Datum and Transformation Verification 4. GIS/GIS Analysis and Spatial Queries 5. Remote Sensing and Satellite Image Classification 6. Model Generation from Photogrammetry and UAV Images 7. LiDAR Point Cloud Processing and Classification 8. Map Production Automation and Cartography 9. Cadastre, Title Deed and Ownership Data 10. Geomatics Automation with Python 11. QGIS Automation, Ethics, Privacy and End-to-End Project
Unit 8 / 11

Map Production Automation and Cartography

Gains:

  • Ability to automate symbolization, labeling, generalization and layout production steps with AI
  • Ability to translate map production rules (scale, legend, north arrow, accuracy note) into AI-supported templates
  • Ability to check automatically produced map output for cartographic readability and standard compliance
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