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Cartography and Geographic Information Science is a peer-reviewed journal published by Taylor & Francis, covering Geographic Information Systems Studies, Data Management and Algorithms, Spatial Cognition and Navigation. Over its lifetime it has published 1,056 papers, which have received 26,925 citations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (APA) Author–year — (Smith, 2023) in the text Smith, A., Jones, B., & Lee, C. (2023). A representative article title. Cartography and Geographic Information Science, 12(3), 45–58.
Formats any DOI in Cartography and Geographic Information Science style. No sign-up. |
| Publishes research in | Geographic Information Systems Studies Data Management and Algorithms Spatial Cognition and Navigation Human Mobility and Location-Based Analysis Data Visualization and Analytics |
| ISSN | 1523-0406 |
| Citation impact (2-yr) | 3.01 |
| h-index | 76 |
| i10-index | 514 |
| Top institutions publishing here | Pennsylvania State University |
| 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.
Pervasive presence of location-sharing services made it possible for researchers to gain an unprecedented access to the direct records of human activity in space and time. This article analyses geo-located Twitter messages in order to uncover global patterns of human mobility. Based on a dataset of almost a billion tweets recorded in 2012, we estimate…
(2001). Research Challenges in Geovisualization. Cartography and Geographic Information Science: Vol. 28, No. 1, pp. 3-12.
In recent years, a number of data structures for global geo-referenced data sets have been proposed based on regular, multi-resolution partitions of polyhedra. We present a survey of the most promising of such systems, which we call Geodesic Discrete Global Grid Systems (Geodesic DGGSs). We show that Geodesic DGGS alternatives can be constructed by specifying…
Developing reliable methods for representing and managing information uncertainty remains a persistent and relevant challenge to GIScience. Information uncertainty is an intricate idea, and recent examinations of this concept have generated many perspectives on its representation and visualization, with perspectives emerging from a wide range of disciplines and application contexts. In this paper, we review…
Abstract Dasymetric maps display statistical data in meaningful spatial zones. Such maps can be preferable to choropleth maps that show data by enumeration zones, because dasymetric zones more accurately represent underlying data distributions. Though dasymetric mapping has existed for well over a century, the methods for producing these maps have not been thoroughly examined. In…
