ggplot US state map; colors are fine, polygons jagged - r
You don't need to do the merge. You can use geom_map
and keep the data separate from the shapes. Here's an example using the built-in USArrests
data (reformatted with dplyr
):
library(ggplot2)
library(dplyr)
us <- map_data("state")
arr <- USArrests %>%
add_rownames("region") %>%
mutate(region=tolower(region))
gg <- ggplot()
gg <- gg + geom_map(data=us, map=us,
aes(x=long, y=lat, map_id=region),
fill="#ffffff", color="#ffffff", size=0.15)
gg <- gg + geom_map(data=arr, map=us,
aes(fill=Murder, map_id=region),
color="#ffffff", size=0.15)
gg <- gg + scale_fill_continuous(low='thistle2', high='darkred',
guide='colorbar')
gg <- gg + labs(x=NULL, y=NULL)
gg <- gg + coord_map("albers", lat0 = 39, lat1 = 45)
gg <- gg + theme(panel.border = element_blank())
gg <- gg + theme(panel.background = element_blank())
gg <- gg + theme(axis.ticks = element_blank())
gg <- gg + theme(axis.text = element_blank())
gg
Keyboard Frenzy
Updated on August 07, 2022Comments
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Keyboard Frenzy over 1 year
I'm trying to plot a US map where each state is shaded by the count that it has. I've gotten the shading to work just fine. The problem I'm running into, however, is that the polygons look very jagged (I'm assuming something happened when I tried to merge the map_data('state') with my data frame of counts per state). My data frame before merging has 49 rows (Nevada was missing data in my set), and after merging has many more rows (expected for the long/lat items for the states) but the data appears to be copied correctly for each lat/long pair, so I'm unsure why the poly's are so jagged.
Code:
ggplot() + geom_polygon(data=try1, aes(x=long, y=lat, group = group, fill= COUNT)) + scale_fill_continuous(low='thistle2', high='darkred', guide='colorbar') + theme_bw() + labs(fill="State Map Try Title1", title='Title2', x='', y='') + scale_y_continuous(breaks=c()) + scale_x_continuous(breaks=c()) + theme(panel.border = element_blank())
Any help would be greatly appreciated (and obviously, if there is a better way to do it, I'm open to suggestions!).
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Keyboard Frenzy almost 9 yearsHey thanks! This works as well. I especially appreciate the coord_map since it makes the map a bit more pretty.
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Superbest almost 8 yearsI can't get this to run. First
%>%
is not available by default and hard to google for (it's frommagrittr
). Second I can't getdplyr
to install on 3.1.1. Can you edit the column shuffling to be more minimal? -
hrbrmstr almost 8 yearsThe code runs perfectly in a vanilla R session and
%>%
comes along for the ride withdplyr
. Which means you didn't run it as-is. Also, I'm sure you are more than capable of putting the code into your own editor and changing line spacing/indenting to suit your personal preferences, @Superbest -
Superbest almost 8 yearsWell it didn't work for me, I use Rstudio. Column shuffling refers to columns of data frame, not the source. Anyway, excuse me for trying to help improve the answer.
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hrbrmstr almost 8 yearsYou did not execute the code the way it is written. Period. I use RStudio as well.
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Achekroud over 7 yearsCode works perfectly if you follow it with a new & clean install. Thanks @hrbrmstr. One additional helper in case people are looking for alternative colour palettes, the following will go from blue to red through white:
scale_fill_gradientn(colours = c("#2b8cbe", "white", "#d7301f"))
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hrbrmstr over 7 yearsYou should absolutely not do that color palette. 10% of the world can't see it properly. Look at the
viridis
package. I only used the colors the OP had since it was what the OP had.