README.md

In lgsilvaesilva/spGoogle: Interacting R with Google maps: Spatial visualization tool

spGoogle

Development package for users R. The spGoogle package provides a interface between R and GoogleMaps for data visualization in both directions. Import GoogleMaps background to R plots and export R data information to GoogleMaps. Currently, on Windows the spGoogle can only export to the browser Google Chrome while on Linux both Google Chrome and Firefox are accepted.

Installation

You can install spGoogle from github using the devtools package

install.packages("devtools")
devtools::install_github("lgsilvaesilva/spGoogle")

Example 1

A basic example to show how to use the spGoogle package.

require(spGoogle)
data(rio)

spRplot(rio) #plot in R
spGplot(rio) #plot in Google Maps ou Google Earth

spGplot(rio, var = "Dengue")

Example 2

Adding some information in description balloon. After run commands below, click on polygon to see the output.

library(RColorBrewer)
require(spGoogle)
data(rio)

brks <- hist(rio$Dengue, plot = FALSE)$breaks
n_cuts <- length(brks)
pallete <- brewer.pal(n_cuts-1, 'Blues')
names(rio@data)

##  [1] "GeoCode" "Name"    "Lat"     "Long"    "Pop"     "Income"  "Urban"  
##  [8] "Dengue"  "E"       "SMR"

spGplot(rio, var = "Dengue", cuts = brks, 
        col.pallete = list(col = pallete, alpha = 0.8), 
        description = list(title = 'Name', type = 'table', var = c('Income','Urban')),
        maptype = 'roadmap')

spGplot(rio, var = "Dengue", cuts = brks, 
        col.pallete = list(col = pallete, alpha = 0.8), 
        description = list(title = 'Name', type = 'bar', var = c('Income','Urban')),
        maptype = 'roadmap')

spGplot(rio, var = "Dengue", cuts = brks, 
        col.pallete = list(col = pallete, alpha = 0.8), 
        description = list(title = 'Name', type = 'pie', var = c('Income','Urban')),
        maptype = 'roadmap')

lgsilvaesilva/spGoogle documentation built on May 21, 2019, 6:08 a.m.