GeoAI for map generalization in multi-scale cartography: foundations, a research agenda, and interdisciplinary perspectives

Authors

Robert Weibel (ORCID: https://orcid.org/0000-0002-2425-0077)
Guillaume Touya (ORCID: https://orcid.org/0000-0001-6113-6903)
Monika Sester (ORCID: https://orcid.org/0000-0002-6656-8809)
Cheng Guo Fu
Zhiyong Zhou
Yu Feng

Institutions

Leibniz University Hannover (DE)
University of Wisconsin–Madison (US)
University of Applied Sciences Mainz (DE)
University of Zurich (CH)
International Longevity Centre (GB)
Université Gustave Eiffel (FR)
China Agricultural University (CN)
Technical University of Munich (DE)

Publication Details

Journal: International Journal of Geographical Information Systems
Published: 2026-02-18
DOI: https://doi.org/10.1080/13658816.2026.2626935
Primary Topic: Geographic Information Systems Studies
Type: article
Field-Weighted Citation Impact: 0.00

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article

GeoAI for map generalization in multi-scale cartography: foundations, a research agenda, and interdisciplinary perspectives

Robert Weibel, Guillaume Touya, Monika Sester, Cheng Guo Fu et al.

Feb 18, 2026

International Journal of Geographical Information Systems

Geographic Information Systems Studies

article

GeoAI for map generalization in multi-scale cartography: foundations, a research agenda, and interdisciplinary perspectives

Robert Weibel, Guillaume Touya, Monika Sester, Cheng Guo Fu, Zhiyong Zhou, Yu Feng

February 18, 2026article en

Abstract

No abstract available for this paper.

International Journal of Geographical Information Systems

Leibniz University Hannover (DE), University of Wisconsin–Madison (US), University of Applied Sciences Mainz (DE), University of Zurich (CH), International Longevity Centre (GB), Université Gustave Eiffel (FR), China Agricultural University (CN), Technical University of Munich (DE)

Climate action

Openalex Percentile: Top 50%

Geographic Information Systems Studies

DOI Open Access PDF OpenAlex

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