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rplotbubble-chart

Bubble plot of mine quakes

In R I am looking to create a heatmap similar to the one below. Where size represents energy expelled and color represents depth.

My dataset (CSV) looks something like this:

X,       Y,      Z,     E
19305,  -11211,  -599,  3000
22159,  -13553,  -600,  300
22155,  -13519,  -823,  2000
...     ...      ...    ...

Where X, Y & Z are axes and E is energy.

I have spent the past couple hours playing with R but unable to accomplish what I have set out to. Please provide sample code if possible.

Related

Thanks!

heatmap

Solution

  • Edit: Updated to use more meaningful data. The original response is at the bottom.

    This map...

    ... can be produced with the following code:

    library(ggplot2)
library(maptools)

# grab earthquake data [source: USGS Earthquake Hazards Program]
url <- "http://comcat.cr.usgs.gov/fdsnws/event/1/query"
querystring <- "starttime=2012-01-01T00:00:00Z"
querystring <- paste(querystring,"minmagnitude=6", sep="&")   # magnitude >= 6
querystring <- paste(querystring,"mindepth=0",     sep="&")
querystring <- paste(querystring,"maxdepth=1000",  sep="&")   # depth <= 1000 km
querystring <- paste(querystring,"format=csv",     sep="&")   # return CSV file
uri <- paste(url,querystring,sep="?")
ggQuakes <- read.table(header=T,sep=",", file=uri)
# grab world map [built into maptools package]
ggMap  <- fortify(wrld_simpl)
# create map payers
ggp <- ggplot(ggQuakes)
ggp <- ggp + geom_point(aes(x=longitude ,y=latitude ,color=depth ,size=mag), alpha=0.8)
ggp <- ggp + scale_size(range=c(4,8))
ggp <- ggp + scale_color_gradient(low="#aaaaaa", high="#cc0000")
ggp <- ggp + geom_path(data=ggMap, aes(x=long, y=lat, group=group))
ggp <- ggp + coord_equal()
ggp <- ggp + theme(legend.position="bottom")
# render map
print(ggp)

    Original Response:

    It would be better if you provided more representative sample data, but calling your dataset gg, 

    library(ggplot)
ggplot(gg) + 
  geom_point(aes(x=X,y=Y,color=Z,size=log(E)), alpha=0.5) +
  scale_size(range=c(4,8)) +        # sets minimum and maximum size
  scale_color_gradient(low="#aaaaaa", high="#cc0000")

    I used a log (Energy) scale because the levels are so different.