Google Geo Chart with R geochart


The gvisGeoChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page.

gvisGeoChart(data, locationvar = "", colorvar = "", sizevar = "", hovervar = "", options = list(), chartid)
a data.frame. The data has to have at least one column with location name (locationvar), value to be mapped to location. The format of the data varies depending on which display mode that you use: Regions or Markers.
column name of data with the geo locations to be analysed. The locations can be provide in two formats:
Format 1
'latitude:longitude'. See the example below.
Format 2
Address, country name, region name locations, or US metropolitan area codes, see http://code.google.com/apis/adwords/docs/developer/adwords_api_us_metros.html. This format works with the dataMode option set to either 'markers' or 'regions'. The following formats are accepted: A specific address (for example, "1600 Pennsylvania Ave"). A country name as a string (for example, "England"), or an uppercase ISO-3166 code or its English text equivalent (for example, "GB" or "United Kingdom"). An uppercase ISO-3166-2 region code name or its English text equivalent (for example, "US-NJ" or "New Jersey").
column name of data with the optional numeric column used to assign a color to this marker, based on the scale specified in the colorAxis.colors property. If this column is not present, all markers will be the same color. If the column is present, null values are not allowed. Values are scaled relative to each other, or absolutely to values specified in the colorAxis.values property.
only used for displayMode='markers'. Column name of data with the optional numeric column used to assign the marker size, relative to the other marker sizes. If this column is not present, the value from the previous column will be used (or default `size, if no color column is provided as well). If the column is present, null valuesare not allowed.
column name of data with the additional string text displayed when the user hovers over this region.
list of configuration options, see:


The parameters can be set via a named list. The parameters have to map those of the Google documentation.

  • Boolean arguments are set to either TRUE or FALSE, using the R syntax.

  • Google API parameters with a single value and with names that don't include a "." are set like one would do in R, that is options=list(width=200, height=300). Exceptions to this rule are the width and height options for gvisAnnotatedTimeLine and gvisAnnotationChart. For those two functions, width and height must be character strings of the format "Xpx", where X is a number, or "automatic". For example, options=list(width="200px", height="300px").
  • Google API parameters with names that don't include a ".", but require multivalues are set as a character, wrapped in "[ ]" and separated by commas, e.g.
  • options=list(colors="['#cbb69d', '#603913', '#c69c6e']")

  • Google API parameters with names that do include a "." present parameters with several sub-options and have to be set as a character wrapped in " ". The values of those sub-options are set via parameter:value. Boolean values have to be stated as 'true' or 'false'. For example the Google documentaion states the formating options for the vertical axis and states the parameter as vAxis.format. Then this paramter can be set in R as:
  • options=list(vAxis="{format:'#,###%'}").

  • If several sub-options have to be set, e.g.
  • titleTextStyle.color, titleTextStyle.fontName and titleTextStyle.fontSize, then those can be combined in one list item such as:

    options=list(titleTextStyle="{color:'red', fontName:'Courier', fontSize:16}")

  • paramters that can have more than one value per sub-options are wrapped in "[ ]". For example to set the labels for left and right axes use:
  • options=list(vAxes="[{title:'val1'}, {title:'val2'}]")

  • gvis.editor a character label for an on-page button that opens an in-page dialog box enabling users to edit, change and customise the chart. By default no value is given and therefore no button is displayed.
  • For more details see the Google API documentation and the R examples below.

    character. If missing (default) a random chart id will be generated based on chart type and tempfile

    A geo chart is a map of a country, a continent, or a region with two modes: The region mode colorizes whole regions, such as countries, provinces, or states. The marker mode marks designated regions using bubbles that are scaled according to a value that you specify.

    A geo chart is rendered within the browser using SVG or VML. Note that the map is not scrollable or draggable.


    gvisGeoChart returns list of class "gvis" and "list". An object of class "gvis" is a list containing at least the following components:
    Google visualisation type
    character id of the chart object. Unique chart ids are required to place several charts on the same page.
    a list with the building blocks for a page
    a character string of a html page header: ...,
    a named character vector of the chart's building blocks:
    Opening .
    Call of the jsDisplayChart function.
    container to embed the chart into the page.
    character string of a standard caption, including data name and chart id.
    character string of a html page footer: ..., including the used R and googleVis version and link to Google's Terms of Use.


    Google Chart Tools API: http://developers.google.com/chart/interactive/docs/gallery/geochart

    See Also

    See also print.gvis, plot.gvis for printing and plotting methods.

    • gvisGeoChart
    ## Please note that by default the googleVis plot command
    ## will open a browser window and requires Internet
    ## connection to display the visualisation.
    ## Regions examples
    ## The regions style fills entire regions (typically countries) with
    ## colors corresponding to the values that you assign
    G1a <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit') 
    ## Change projection
    G1b <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit',
    ## Plot only Europe
    G2 <- gvisGeoChart(Exports, "Country", "Profit",
    ## Example showing US data by state 
    states <- data.frame(state.name, state.x77)
    G3 <- gvisGeoChart(states, "state.name", "Illiteracy",
                     options=list(region="US", displayMode="regions", 
       	 width=600, height=400))
    ## Markers Example
    ## A marker style map renders bubble-shaped markers at specified
    ## locations with the color and size that you specify.
    G4 <- gvisGeoChart(CityPopularity, locationvar='City', colorvar='Popularity',
                          options=list(region='US', height=350, 
                                       colors:[\'red', \'pink\', \'orange',\'green']}")
    G5 <- gvisGeoChart(Andrew, "LatLong", colorvar='Speed_kt',
    G6 <- gvisGeoChart(Andrew, "LatLong", sizevar='Speed_kt',
                       colorvar="Pressure_mb", options=list(region="US"))
    ## Create lat:long values and plot a map of Oceania
    ## Set background colour to light-blue
    quakes$latlong<-paste(quakes$lat, quakes$long, sep=":")
    G7 <- gvisGeoChart(quakes, "latlong", "depth", "mag",
                       options=list(displayMode="Markers", region="009",
                       colorAxis="{colors:['red', 'grey']}",
    ## Not run: 
    # # Plot S&P countries' credit rating sourced from Wikipedia
    # # Use the hovervar to show the rating
    # library(XML)
    # url <- "http://en.wikipedia.org/wiki/List_of_countries_by_credit_rating"
    # x <- readHTMLTable(readLines(url), which=3)
    # levels(x$Rating) <- substring(levels(x$Rating), 4, 
    #                               nchar(levels(x$Rating)))
    # x$Ranking <- x$Rating
    # levels(x$Ranking) <- nlevels(x$Rating):1
    # x$Ranking <- as.character(x$Ranking)
    # x$Rating <- paste(x$Country, x$Rating, sep=": ")
    # #### Create a geo chart
    # G8 <- gvisGeoChart(x, "Country", "Ranking", hovervar="Rating",
    #                 options=list(gvis.editor="S&P", 
    #                              colorAxis="{colors:['#91BFDB', '#FC8D59']}"))
    # plot(G8)
    # ## Plot world wide earth quakes of the last 30 days with magnitude >= 4.0 
    # library(XML)
    # ## Get earthquake data of the last 30 days
    # eq <- read.csv("http://earthquake.usgs.gov/earthquakes/feed/v0.1/summary/2.5_week.csv")
    # eq$loc=paste(eq$Latitude, eq$Longitude, sep=":")
    # G9 <- gvisGeoChart(eq, "loc", "Depth", "Magnitude",
    #                    options=list(displayMode="Markers", 
    #                    colorAxis="{colors:['purple', 'red', 'orange', 'grey']}",
    #                    backgroundColor="lightblue"), chartid="EQ")
    # plot(G9)
    # ## End(Not run)
    Documentation reproduced from package googleVis, version 0.6.0, License: GPL (>= 2)

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