# Google Geo Chart with R googleChartName \<- "geochart" gvisChartName \<- "gvisGeoChart" 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. ```r gvisGeoChart( data, locationvar = "", colorvar = "", sizevar = "", hovervar = "", options = list(), chartid ) ``` ## 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](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` ## Returns paste(gvisChartName) returns list of `class` paste(readLines(file.path(".", "inst", "mansections","gvisOutputStructure.txt"))) ## 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. ## Examples ```r ## 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) ``` ## 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. ## Author(s) Markus Gesmann markus.gesmann@gmail.com , Diego de Castillo decastillo@gmail.com