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International Journal of Cartography is a peer-reviewed journal published by Taylor & Francis, covering Geographic Information Systems Studies, Historical Geography and Cartography, Data Management and Algorithms.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." International Journal of Cartography 12 (3): 45–58.
Formats any DOI in International Journal of Cartography style. No sign-up. |
| Publishes research in | Geographic Information Systems Studies Historical Geography and Cartography Data Management and Algorithms Data Visualization and Analytics Spatial Cognition and Navigation |
| ISSN | 2372-9333 |
| Citation impact (2-yr) | 1.91 |
| h-index | 23 |
| i10-index | 47 |
| Total citations | 2,350 |
| Top institutions publishing here | The University of Texas at Arlington |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The possibility of digital interactivity requires us to reenvision the map reader as the map user, and to address the perceptual, cognitive, cultural, and practical considerations that influence the user’s experience with interactive maps and visualizations. In this article, we present an agenda for empirical research on this user and the interactive designs he or…
Geospatial big data present a new set of challenges and opportunities for cartographic researchers in technical, methodological and artistic realms. New computational and technical paradigms for cartography are accompanying the rise of geospatial big data. Additionally, the art and science of cartography needs to focus its contemporary efforts on work that connects to outside disciplines…
Thematic cartography and geovisualization is a comprehensive cartographic textbook first published in 1998. Now in its fourth edition, it has both a new publisher, CRC Press, and, for the first tim...
Data, maps and services of the national mapping and cadastral agencies contain geometric information on buildings, particularly building footprints. However, building type information is often not included. In this paper, we propose a data-driven approach for automatic classification of building footprints that make use of pattern recognition and machine learning techniques. Using a Random Forest…
The advancement of the Artificial Intelligence (AI) technologies makes it possible to learn stylistic design criteria from existing maps or other visual art and transfer these styles to make new digital maps. In this paper, we propose a novel framework using AI for map style transfer applicable across multiple map scales. Specifically, we identify and…
