13.7 Plotly: Maps

• In the old days making maps was annoying…
• Maps: type = 'Scatter Geo', type = 'Cloropleth'
• Scatterplot on map, Small multiples, Chloropleth, Bubbles, Lines, R plotly book, Flight paths
• Shape files can be obtained from GADM
• Geo
  • projection = list(type = 'mercator'): List of projections and those available in plotly
  • scope =: "world" (default) | "usa" | "europe" | "asia" | "africa" | "north america" | "south america"
  • resolution = 50: Sets the resolution of the base layers.
• Geo-Axes
  • Longitude, Latitude, Legend, Annotations, Shapes

13.7.1 Example

x <- WDI::WDIsearch(string = "gdp")
x <- data.frame(x)
rownames(x) <- x$indicator



d <- WDI(country="all", indicator=c("NY.GDP.PCAP.CD"),
    start=2014, end=2014)

#d <- left_join(d, countrycode_data, by = "iso2c")


# light grey boundaries
l <- list(color = toRGB("grey"), width = 0.5)

# specify map projection/options
g <- list(
  scope = 'europe',
  resolution = 50,
  showframe = FALSE,
  showcoastlines = FALSE,
  projection = list(type = 'mercator', scope = 'europe'),
  showrivers = TRUE)

plot_geo(d) %>%
  add_trace(z = d$NY.GDP.PCAP.CD, color = d$NY.GDP.PCAP.CD, colors = 'Blues',
    text = d$country, locations = d$iso3c, marker = list(line = l)) %>%
  colorbar(title = 'GDP per capita (current US$)', tickprefix = '$') %>%
  layout(title = 'World Development Indicators: GDP per capita (current US$)', geo = g)