
Lars Harrie
Professor

Machine learning in cartography
Författare
Summary, in English
Machine learning is increasingly used as a computing paradigm in cartographic research. In this extended editorial, we provide some background of the papers in the CaGIS special issue Machine Learning in Cartography with a special focus on pattern recognition in maps, cartographic generalization, style transfer, and map labeling. In addition, the paper includes a discussion about map encodings for machine learning applications and the possible need for explicit cartographic knowledge and procedural modeling in cartographic machine learning models.
Avdelning/ar
- Institutionen för naturgeografi och ekosystemvetenskap
- Centrum för geografiska informationssystem (GIS-centrum)
- eSSENCE: The e-Science Collaboration
Publiceringsår
2024
Språk
Engelska
Sidor
1-19
Publikation/Tidskrift/Serie
Cartography and Geographic Information Science
Volym
51
Issue
1
Dokumenttyp
Artikel i tidskrift
Förlag
American Congress on Surveying and Mapping
Ämne
- Other Computer and Information Science
Nyckelord
- Cartography
- deep learning
- machine learning
- map generalization
- map labeling
- pattern recognition
- style transfer
Aktiv
Published
ISBN/ISSN/Övrigt
- ISSN: 1523-0406