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Cited by 2,119

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

ggmap: Spatial Visualization with ggplot2

Open access
Kahle, David, Wickham, Hadley·2013·The R Journal

Abstract

In spatial statistics the ability to visualize data and models superimposed with their basic social landmarks and geographic context is invaluable.ggmap is a new tool which enables such visualization by combining the spatial information of static maps from Google Maps, OpenStreetMap, Stamen Maps or CloudMade Maps with the layered grammar of graphics implementation of ggplot2.In addition, several new utility functions are introduced which allow the user to access the Google Geocoding, Distance Matrix, and Directions APIs.The result is an easy, consistent and modular framework for spatial graphics with several convenient tools for spatial data analysis.

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Metadata

Authors
Kahle, D., & Wickham, H.
Venue
The R Journal
Published
2013
Volume
5
Issue
1
Pages
144
ISSN
2073-4859 (ISSN-L)
OpenAlex
W2788650779
Cited by
2,119
References
7
FWCI
41.96
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: ggmap: Spatial Visualization with ggplot2. https://app.cochat.ai/papers/10.32614/rj-2013-014
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Kahle, D., & Wickham, H. (2013). ggmap: Spatial Visualization with ggplot2. The R Journal. https://doi.org/10.32614/rj-2013-014

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.