googleVis (version 0.7.1)

gvisGeoChart: Google Geo Chart with R googleChartName <- "geochart" gvisChartName <- "gvisGeoChart"

Description

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.

Usage

gvisGeoChart(
  data,
  locationvar = "",
  colorvar = "",
  sizevar = "",
  hovervar = "",
  options = list(),
  chartid
)

Value

paste(gvisChartName) returns list of class

paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))

Arguments

data

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.

locationvar

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 https://developers.google.com/adwords/api/docs/appendix/geotargeting?csw=1l. 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").

colorvar

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.

sizevar

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.

hovervar

column name of data with the additional string text displayed when the user hovers over this region.

options

list of configuration options, see:

gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))

paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))

chartid

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

Author

Markus Gesmann , Diego de Castillo

Details

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.

References

Google Chart Tools API: gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))

See Also

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

Examples

## 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') 

plot(G1a)

## Change projection
G1b <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit',
                   options=list(projection="kavrayskiy-vii")) 

plot(G1b)

## Plot only Europe
G2 <- gvisGeoChart(Exports, "Country", "Profit",
                   options=list(region="150"))

plot(G2)


## Example showing US data by state 
require(datasets)

states <- data.frame(state.name, state.x77)
G3 <- gvisGeoChart(states, "state.name", "Illiteracy",
                 options=list(region="US", displayMode="regions", 
                              resolution="provinces",
   	 width=600, height=400))
plot(G3)


G4 <- gvisGeoChart(Andrew, "LatLong", colorvar='Speed_kt',
                   options=list(region="US"))
plot(G4)


G5 <- gvisGeoChart(Andrew, "LatLong", sizevar='Speed_kt',
                   colorvar="Pressure_mb", options=list(region="US"))
plot(G5)

## Create lat:long values and plot a map of Oceania
## Set background colour to light-blue

require(stats)
data(quakes)
head(quakes)
quakes$latlong<-paste(quakes$lat, quakes$long, sep=":")

G6 <- gvisGeoChart(quakes, "latlong", "depth", "mag",
                   options=list(displayMode="Markers", region="009",
                   colorAxis="{colors:['red', 'grey']}",
                   backgroundColor="lightblue"))

plot(G6)