Cartography and Geographic Information Science, Volume 51, Issue 1 (2024)

Browse this journal
Sample our Geography journals, sign in here to start your FREE access for 14 days

Cartography and Geographic Information Science, Volume 51, Issue 1 (2024)

See all volumes and issues
Volume 51, 2024 Vol 50, 2023 Vol 49, 2022 Vol 48, 2021 Vol 47, 2020 Vol 46, 2019 Vol 45, 2018 Vol 44, 2017 Vol 43, 2016 Vol 42, 2015 Vol 41, 2014 Vol 40, 2013 Vol 39, 2012 Vol 38, 2011 Vol 37, 2010 Vol 36, 2009 Vol 35, 2008 Vol 34, 2007 Vol 33, 2006 Vol 32, 2005 Vol 31, 2004 Vol 30, 2003 Vol 29, 2002 Vol 28, 2001 Vol 27, 2000 Vol 26, 1999 Vol 25, 1998 Vol 24, 1997 Vol 23, 1996 Vol 22, 1995 Vol 21, 1994 Vol 20, 1993 Vol 19, 1992 Vol 18, 1991 Vol 17, 1990 Vol 16, 1989 Vol 15, 1988 Vol 14, 1987 Vol 13, 1986 Vol 12, 1985 Vol 11, 1984 Vol 10, 1983 Vol 9, 1982 Vol 8, 1981 Vol 7, 1980 Vol 6, 1979 Vol 5, 1978 Vol 4, 1977 Vol 3, 1976 Vol 2, 1975 Vol 1, 1974
Download citations Download PDFs Download issue

Machine Learning in Cartography

Editorial

Editorial
Machine learning in cartography
Lars Harrie, Guillaume Touya, Rachid Oucheikh, Tinghua Ai, Azelle Courtial & Kai-Florian Richter
Pages: 1-19
Published online: 19 Feb 2024
AbstractforMachine learning in cartography | Full Text | References | PDF (4.5 MB) | EPUB
  • 1358 Views
  • 0 CrossRef citations
  • 0Altmetric
Free Access

Research Article

Article
A point selection method in map generalization using graph convolutional network model
Tianyuan Xiao, Tinghua Ai, Huafei Yu, Min Yang & Pengcheng Liu
Pages: 20-40
Published online: 21 Mar 2023
AbstractforA point selection method in map generalization using graph convolutional network model | Full Text | References | PDF (12.5 MB) | EPUB
  • 554 Views
  • 5 CrossRef citations
  • 0Altmetric
Article
DeepMapScaler: a workflow of deep neural networks for the generation of generalised maps
Azelle Courtial, Guillaume Touya & Xiang Zhang
Pages: 41-59
Published online: 26 Oct 2023
AbstractforDeepMapScaler: a workflow of deep neural networks for the generation of generalised maps | Full Text | References | PDF (14.9 MB) | EPUB
  • 274 Views
  • 0 CrossRef citations
  • 0Altmetric
Article
Using machine learning and data enrichment in the selection of roads for small-scale maps
Izabela Karsznia, Albert Adolf, Stefan Leyk & Robert Weibel
Pages: 60-78
Published online: 30 Nov 2023
AbstractforUsing machine learning and data enrichment in the selection of roads for small-scale maps | Full Text | References | PDF (16.6 MB) | EPUB
  • 203 Views
  • 1 CrossRef citations
  • 0Altmetric
Article
A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints
Xiongfeng Yan & Min Yang
Pages: 79-96
Published online: 13 Jun 2023
AbstractforA deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints | Full Text | References | PDF (15.1 MB) | EPUB
  • 493 Views
  • 3 CrossRef citations
  • 0Altmetric
Article
Inferring implicit 3D representations from human figures on pictorial maps
Raimund Schnürer, A. Cengiz Öztireli, Magnus Heitzler, René Sieber & Lorenz Hurni
Pages: 97-113
Published online: 26 Jun 2023
AbstractforInferring implicit 3D representations from human figures on pictorial maps | Full Text | References | PDF (13.4 MB) | EPUB
  • 902 Views
  • 0 CrossRef citations
  • 0Altmetric
Open Access
Article
MultiLineStringNet: a deep neural network for linear feature set recognition
Pengbo Li, Haowen Yan & Xiaomin Lu
Pages: 114-129
Published online: 14 Nov 2023
AbstractforMultiLineStringNet: a deep neural network for linear feature set recognition | Full Text | References | PDF (14.2 MB) | EPUB
  • 182 Views
  • 2 CrossRef citations
  • 0Altmetric
Article
Keeping walls straight: data model and training set size matter for deep learning in building generalization
Cheng Fu, Zhiyong Zhou, Yu Feng & Robert Weibel
Pages: 130-145
Published online: 14 Nov 2023
AbstractforKeeping walls straight: data model and training set size matter for deep learning in building generalization | Full Text | References | PDF (6.7 MB) | EPUB | Supplemental
  • 358 Views
  • 1 CrossRef citations
  • 0Altmetric
Article
Learning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes
Martin Knura
Pages: 146-167
Published online: 21 Nov 2023
AbstractforLearning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes | Full Text | References | PDF (14.4 MB) | EPUB
  • 1087 Views
  • 0 CrossRef citations
  • 0Altmetric
Open Access
Article
A feasibility study of applying generative deep learning models for map labeling
Rachid Oucheikh & Lars Harrie
Pages: 168-191
Published online: 17 Jan 2024
AbstractforA feasibility study of applying generative deep learning models for map labeling | Full Text | References | PDF (28.4 MB) | EPUB | Supplemental
  • 960 Views
  • 0 CrossRef citations
  • 0Altmetric
Open Access

Explore articles