问题
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!
回答1:
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.
回答2:
symbols(quakes$X, quakes$Y, circles=quakes$E)
radius <- sqrt( quakes$E/ pi )
symbols(quakes$X, quakes$Y, circles=radius)
symbols(quakes$X, quakes$Y, circles=radius, inches=0.35, fg="white", bg="red", xlab="Murder Rate", ylab="Burglary Rate")
Just missing Z colorizing.
来源：https://stackoverflow.com/questions/20482822/bubble-plot-of-mine-quakes