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ggmap: Spatial Visualization with ggplot2

CONTRIBUTEDRESEARCHARTICLES144ggmap: Spatial Visualization withggplot2by David Kahle and Hadley WickhamAbstractIn Spatial statistics the ability to visualize data and models superimposed with their basicsocial landmarks and geographic context is a new tool which enables suchvisualization by combining the Spatial information of static maps from Google Maps, openstreetmap ,Stamen Maps or CloudMade Maps with the layered grammar of graphics implementation addition, several new utility functions are introduced which allow the user to access the GoogleGeocoding, Distance Matrix, and Directions APIs. The result is an easy, consistent and modularframework for Spatial graphics with several convenient tools for Spatial data Spatial data in R can be a challenging task. Fortunately the task is made a good deal easierby the data structures and plot methods ofsp,RgoogleMaps, and related packages (Pebesma andBivand, 2006; Bivand et al., 2008; Loecher and Berlin School of Economics and Law, 2013).

get_googlemap, get_openstreetmap, get_stamenmap, and get_cloudmademap which accepts a wide array of arguments and returns a classed raster object for plotting with ggmap. As the most important characteristic of any map is location, the most important argument of get_map is the location argument.

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  Openstreetmap, Ggmap

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