问题
I have a SpatialPolygonsDataFrame that comes from the UScensus2010 package. I am trying to create a choropleth. When I do so, this works as expected:
data(colorado.county10)
choropleth(colorado.county10,
"P0010001",
color = list(fun = "rainbow",
attr = list(4)),
main="2010 US Counties",
type="plot",
border="black")
but this fails due to 'P0010001' not being found
data(colorado.county10)
ggplot(colorado.county10, aes(long, lat, group = group)) +
geom_polygon(aes(fill = P0010001), colour = alpha("white", 1/2), size = 0.2) +
scale_fill_brewer(pal = "PuRd")
As I've tried to figure this out, I've noted that colorado.county10$P0010001 returns an array of numbers, but colorado.county10[,"P0010001"] returns a SpatialPolygonsDataFrame.
Any insights into what is happening?
回答1:
If you want to use ggplot
you need to coerce from a SpatialPolygonsDataFrame
to a data.frame
.
ggplot2
provides a number of fortify
methods that will create the correctly formatted data.
Currently the fortify.SpatialPolygonsDataFrame
method does not retain the data
component, it does provide a column id
which contains the rownames from the data.frame
within the data
slot of the original SpatialPolygonsDataFrame
.
Note that data.frames
are an inefficient way to store this information (1 row for each vertex for each polygon).
Thus the following will work, but is slow and may cause memory issues
c10 <- fortify(colorado.county10)
c10d <- cbind(c10, colorado.county10@data[c10$id,])
ggplot(c10d, aes(long, lat, group = group)) +
geom_polygon(aes(fill = factor(P0010001)), colour = alpha("white", 1/2), size = 0.2) +
scale_fill_brewer(pal = "PuRd")
Using base
plotting functions will be much faster and not chew up as many resources.
来源:https://stackoverflow.com/questions/20039297/using-ggplot-to-create-a-choropleth-from-a-spatialpolygonsdataframe