ggmap: Spatial Visualization with ggplot2
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.
Citation edge evidence
- ggmap: Spatial Visualization with ggplot2→ggplot2: Elegant Graphics for Data AnalysisLegacy edge — source detail unavailable
- ggmap: Spatial Visualization with ggplot2→The Split-Apply-Combine Strategy for Data AnalysisLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| ggplot2: Elegant Graphics for Data Analysis | 2009 | 20,582 |
| The Split-Apply-Combine Strategy for Data Analysis | 2011 | 2,878 |
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Topics
| Data Analysis with R | Computer Science |
| Data Visualization and Analytics | Computer Science |
| Remote Sensing in Agriculture | Environmental Science |
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