| gvisGeoChart {googleVis} | R Documentation |
Google Geo Chart with R
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
)
Arguments
data |
a |
locationvar |
column name of
|
colorvar |
column name of |
sizevar |
only used for |
hovervar |
column name of |
options |
list of configuration options, see: https://developers.google.com/chart/interactive/docs/gallery/geochart#Configuration_Options The parameters can be set via a named list. The parameters have to map those of the Google documentation.
For more details see the Google API documentation and the R examples below. |
chartid |
character. If missing (default) a random chart id will be
generated based on chart type and |
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.
Value
gvisGeoChart returns list
of class
"gvis" and "list".
An object of class "gvis" is a list containing at least the
following components:
typeGoogle visualisation type
chartidcharacter id of the chart object. Unique chart ids are required to place several charts on the same page.
htmla list with the building blocks for a page
headera character string of a html page header:
<html>...<body>,charta named character vector of the chart's building blocks:
jsHeaderOpening
<script>tag and reference to Google's JavaScript library.jsDataJavaScript function defining the input
dataas a JSON object.jsDrawChartJavaScript function combing the data with the visualisation API and user options.
jsDisplayChartJavaScript function calling the handler to display the chart.
jsFooterEnd tag
</script>.jsChartCall of the
jsDisplayChartfunction.divChart<div>container to embed the chart into the page.
captioncharacter string of a standard caption, including data name and chart id.
footercharacter string of a html page footer:
</body>...</html>, including the used R and googleVis version and link to Google's Terms of Use.
Author(s)
Markus Gesmann markus.gesmann@gmail.com, Diego de Castillo decastillo@gmail.com
References
Google Chart Tools API: https://developers.google.com/chart/interactive/docs/gallery/geochart
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)