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LarsHarrie

Lars Harrie

Professor

LarsHarrie

Machine learning in cartography

Author

  • Lars Harrie
  • Guillaume Touya
  • Rachid Oucheikh
  • Tinghua Ai
  • Azelle Courtial
  • Kai Florian Richter

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.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • Centre for Geographical Information Systems (GIS Centre)
  • eSSENCE: The e-Science Collaboration

Publishing year

2024

Language

English

Pages

1-19

Publication/Series

Cartography and Geographic Information Science

Volume

51

Issue

1

Document type

Journal article (comment)

Publisher

American Congress on Surveying and Mapping

Topic

  • Other Computer and Information Science

Keywords

  • Cartography
  • deep learning
  • machine learning
  • map generalization
  • map labeling
  • pattern recognition
  • style transfer

Status

Published

ISBN/ISSN/Other

  • ISSN: 1523-0406