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Machine learning in cartography

Harrie, Lars LU orcid ; Touya, Guillaume ; Oucheikh, Rachid LU ; Ai, Tinghua ; Courtial, Azelle and Richter, Kai Florian (2024) In Cartography and Geographic Information Science 51(1). p.1-19
Abstract

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.

Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Cartography, deep learning, machine learning, map generalization, map labeling, pattern recognition, style transfer
in
Cartography and Geographic Information Science
volume
51
issue
1
pages
19 pages
publisher
American Congress on Surveying and Mapping
external identifiers
  • scopus:85185246367
ISSN
1523-0406
DOI
10.1080/15230406.2023.2295948
language
English
LU publication?
yes
id
00af694a-27b4-4bae-96c1-4aded54d6f2f
date added to LUP
2024-03-20 12:20:45
date last changed
2024-03-20 12:21:37
@misc{00af694a-27b4-4bae-96c1-4aded54d6f2f,
  abstract     = {{<p>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.</p>}},
  author       = {{Harrie, Lars and Touya, Guillaume and Oucheikh, Rachid and Ai, Tinghua and Courtial, Azelle and Richter, Kai Florian}},
  issn         = {{1523-0406}},
  keywords     = {{Cartography; deep learning; machine learning; map generalization; map labeling; pattern recognition; style transfer}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{1--19}},
  publisher    = {{American Congress on Surveying and Mapping}},
  series       = {{Cartography and Geographic Information Science}},
  title        = {{Machine learning in cartography}},
  url          = {{http://dx.doi.org/10.1080/15230406.2023.2295948}},
  doi          = {{10.1080/15230406.2023.2295948}},
  volume       = {{51}},
  year         = {{2024}},
}