{"Package":"ggmap","Version":"2.6.1","Title":"Spatial Visualization with ggplot2","Description":"A collection of functions to visualize spatial data and models\non top of static maps from various online sources (e.g Google Maps and Stamen\nMaps). It includes tools common to those tasks, including functions for\ngeolocation and routing.","URL":"https://github.com/dkahle/ggmap","BugReports":"https://github.com/dkahle/ggmap/issues","Authors@R":"c(person(\"David\", \"Kahle\", email = \"david.kahle@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Hadley\", \"Wickham\", email = \"h.wickham@gmail.com\", role = \"aut\"))","Depends":"R (>= 2.14.0), ggplot2 (>= 2.0.0)","Imports":"proto, RgoogleMaps, png, plyr, reshape2, rjson, mapproj, jpeg,\ngeosphere, digest, scales","Suggests":"MASS, stringr, hexbin, dplyr","License":"GPL-2","LazyData":"true","RoxygenNote":"5.0.1","NeedsCompilation":"no","Packaged":"2016-01-22 15:39:39 UTC; david_kahle","Author":"David Kahle [aut, cre],\nHadley Wickham [aut]","Maintainer":"David Kahle ","Repository":"CRAN","Date/Publication":"2016-01-23 00:37:27","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/ggmap_2.6.1.tar.gz","jsonAuthors":[{"name":"David Kahle","email":"david.kahle@gmail.com","maintainer":true},{"name":"Hadley Wickham","email":"h.wickham@gmail.com","maintainer":false}],"readme":"\nggmap\n=====\n\n**ggmap** makes it easy to retrieve raster map tiles from popular online mapping services like [Google Maps](https://developers.google.com/maps/documentation/static-maps/?hl=en), [OpenStreetMap](https://www.openstreetmap.org), [Stamen Maps](http://maps.stamen.com), and plot them using the **ggplot2** framework:\n\n``` r\nlibrary(ggmap)\n\nus <- c(left = -125, bottom = 25.75, right = -67, top = 49)\nmap <- get_stamenmap(us, zoom = 5, maptype = \"toner-lite\")\nggmap(map)\n```\n\n![](README-maptypes-1.png)\n\n``` r\nggmap(map, extent = \"device\")\n```\n\n![](README-maptypes-2.png)\n\nUse `qmplot()` in the same way you'd use `qplot()`, but with a map automatically added in the background:\n\n``` r\ndowntown <- subset(crime,\n -95.39681 <= lon & lon <= -95.34188 &\n 29.73631 <= lat & lat <= 29.78400\n)\n\nqmplot(lon, lat, data = downtown, maptype = \"toner-background\", color = I(\"red\"))\n```\n\n![](README-qmplot-1.png)\n\n``` r\nqmplot(lon, lat, data = downtown, maptype = \"toner-lite\", geom = \"density2d\", color = I(\"red\"))\n```\n\n![](README-qmplot-2.png)\n\nSince **ggmap**'s built on top of **ggplot2**, all your usual **ggplot2** stuff (geoms, polishing, etc.) will work, and there are some unique graphing perks **ggmap** brings to the table, too.\n\n``` r\nrobberies <- subset(downtown, offense == \"robbery\")\n\nqmplot(lon, lat, data = downtown, geom = \"blank\", zoom = 15, maptype = \"toner-background\", darken = .7) +\n stat_density_2d(aes(fill = ..level..), geom = \"polygon\", alpha = .3, color = NA) +\n scale_fill_gradient2(\"Robbery\\nPropensity\", low = \"white\", mid = \"yellow\", high = \"red\", midpoint = 1500)\n```\n\n![](README-styling-1.png)\n\nFaceting works, too:\n\n``` r\nqmplot(lon, lat, data = downtown, maptype = \"toner-background\", color = offense) + \n facet_wrap(~ offense)\n```\n\n![](README-faceting-1.png)\n\nFor convenience, here's a map of Europe:\n\n``` r\neurope <- c(left = -12, bottom = 35, right = 30, top = 63)\nmap <- get_stamenmap(europe, zoom = 5, maptype = \"toner-lite\")\nggmap(map)\n```\n\n![](README-europe-1.png)\n\nInstallation\n------------\n\n- From CRAN: `install.packages(\"ggmap\")`\n\n- From Github: `devtools::install_github(\"dkahle/ggmap\")`","jobInfo":{"package":"ggmap","version":"2.6.1","parsingStatus":"success","parserVersion":1,"parsedAt":"2019-01-23T09:29:59+0000"}}

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Examples