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scale_fill_gradient in GGPlot is not working
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I am trying to use ggplot
to plot stream height gage locations from a dataframe (in Special Features or SF format) on top of Nebraska county shapefile data which was also read into R as a SF dataframe. The scale_fill_gradient
piece of my code is not working and filling in the counties with a gradient.
I will show my code below to make it easier to understand:
#Read in Counties shapefile into an sf dataframe, filtering for just Nebraska counties
CountiesShapefile <- st_read('cb_2017_us_county_20m.shp')%>%filter(STATEFP == 31)
#Read in Stream Gage Locations
NWIS <- read.csv('NWIS_SiteInfo_NE_RAW.csv')
#Convert the Stream Gage Dataframe to a SF Dataframe
NWISsf <- st_as_sf(NWIS,
coords = c('dec_long_va', 'dec_lat_va'),
crs = 4269)
#Read in Gage Flow Data
NWISFlow <- read.csv('NWIS_SiteFlowData_NE_RAW.csv')
#Using a Left Join to combine Stream Gage and Gage Flow Dataframes
NWISJoinClean <- left_join(NWIS, NWISFlow, by='station_nm')
#Convert Joined DF back to SF Dataframe
NWISJoinCleansf <- st_as_sf(NWISJoinClean,
coords = c('dec_long_va','dec_lat_va'),
crs = 4269)
#Use ggplot to plot the Gage Locations on top of the counties(this one worked)
GagePlot <- ggplot() +
geom_sf(data = CountiesShapefile, col='purple') +
geom_sf(data = NWISJoinCleansf, col='blue')
#Use ggplot to plot gage sites on top of counties AND show the magnitude of gage
#height by color, shape, or other visualization techniques(issue is here)
GagePlot2 <- ggplot() +
geom_sf(data=CountiesShapefile, col='black') +
geom_sf(data=NWISJoinCleansf, aes(fill=gage_ht))+
scale_fill_gradient("gage_ht",low='red', high='white')
"gage_ht" is a column in the NWISJoinCleansf dataframe, and it is a
number object. I got the same exact graph as I did for the code without
the scale_fill_gradient
. My goal is to have the counties shaded by
gradient, with the darkest colors for the highest stream gage heights.
Does anyone know what I am doing wrong?
Edit:
I added the aesthetic to the second geom_sf line and it still didn't work.
Head of NWISJoinCleansf data frame
r ggplot2 sf
add a comment |
I am trying to use ggplot
to plot stream height gage locations from a dataframe (in Special Features or SF format) on top of Nebraska county shapefile data which was also read into R as a SF dataframe. The scale_fill_gradient
piece of my code is not working and filling in the counties with a gradient.
I will show my code below to make it easier to understand:
#Read in Counties shapefile into an sf dataframe, filtering for just Nebraska counties
CountiesShapefile <- st_read('cb_2017_us_county_20m.shp')%>%filter(STATEFP == 31)
#Read in Stream Gage Locations
NWIS <- read.csv('NWIS_SiteInfo_NE_RAW.csv')
#Convert the Stream Gage Dataframe to a SF Dataframe
NWISsf <- st_as_sf(NWIS,
coords = c('dec_long_va', 'dec_lat_va'),
crs = 4269)
#Read in Gage Flow Data
NWISFlow <- read.csv('NWIS_SiteFlowData_NE_RAW.csv')
#Using a Left Join to combine Stream Gage and Gage Flow Dataframes
NWISJoinClean <- left_join(NWIS, NWISFlow, by='station_nm')
#Convert Joined DF back to SF Dataframe
NWISJoinCleansf <- st_as_sf(NWISJoinClean,
coords = c('dec_long_va','dec_lat_va'),
crs = 4269)
#Use ggplot to plot the Gage Locations on top of the counties(this one worked)
GagePlot <- ggplot() +
geom_sf(data = CountiesShapefile, col='purple') +
geom_sf(data = NWISJoinCleansf, col='blue')
#Use ggplot to plot gage sites on top of counties AND show the magnitude of gage
#height by color, shape, or other visualization techniques(issue is here)
GagePlot2 <- ggplot() +
geom_sf(data=CountiesShapefile, col='black') +
geom_sf(data=NWISJoinCleansf, aes(fill=gage_ht))+
scale_fill_gradient("gage_ht",low='red', high='white')
"gage_ht" is a column in the NWISJoinCleansf dataframe, and it is a
number object. I got the same exact graph as I did for the code without
the scale_fill_gradient
. My goal is to have the counties shaded by
gradient, with the darkest colors for the highest stream gage heights.
Does anyone know what I am doing wrong?
Edit:
I added the aesthetic to the second geom_sf line and it still didn't work.
Head of NWISJoinCleansf data frame
r ggplot2 sf
1
You haven't mapped any aesthetic tofill
in your code. Try addingaes(fill = gage_ht)
togeomsf(data = NWISJoinCleansf, ...)
. If that doesn't work, do consider making your problem reproducible by including a sample of your data in your question, e.g.dput(head(NWISJoinCleansf, 20))
or something like that.
– Z.Lin
Mar 22 at 2:46
While it's commendable that you tried to include a data sample, an image of data is not data. Please paste in the actual console output fromdput(...)
. (If you can't get that to look like well-formatted code, someone will probably come along & edit it for you.)
– Z.Lin
Mar 22 at 15:45
add a comment |
I am trying to use ggplot
to plot stream height gage locations from a dataframe (in Special Features or SF format) on top of Nebraska county shapefile data which was also read into R as a SF dataframe. The scale_fill_gradient
piece of my code is not working and filling in the counties with a gradient.
I will show my code below to make it easier to understand:
#Read in Counties shapefile into an sf dataframe, filtering for just Nebraska counties
CountiesShapefile <- st_read('cb_2017_us_county_20m.shp')%>%filter(STATEFP == 31)
#Read in Stream Gage Locations
NWIS <- read.csv('NWIS_SiteInfo_NE_RAW.csv')
#Convert the Stream Gage Dataframe to a SF Dataframe
NWISsf <- st_as_sf(NWIS,
coords = c('dec_long_va', 'dec_lat_va'),
crs = 4269)
#Read in Gage Flow Data
NWISFlow <- read.csv('NWIS_SiteFlowData_NE_RAW.csv')
#Using a Left Join to combine Stream Gage and Gage Flow Dataframes
NWISJoinClean <- left_join(NWIS, NWISFlow, by='station_nm')
#Convert Joined DF back to SF Dataframe
NWISJoinCleansf <- st_as_sf(NWISJoinClean,
coords = c('dec_long_va','dec_lat_va'),
crs = 4269)
#Use ggplot to plot the Gage Locations on top of the counties(this one worked)
GagePlot <- ggplot() +
geom_sf(data = CountiesShapefile, col='purple') +
geom_sf(data = NWISJoinCleansf, col='blue')
#Use ggplot to plot gage sites on top of counties AND show the magnitude of gage
#height by color, shape, or other visualization techniques(issue is here)
GagePlot2 <- ggplot() +
geom_sf(data=CountiesShapefile, col='black') +
geom_sf(data=NWISJoinCleansf, aes(fill=gage_ht))+
scale_fill_gradient("gage_ht",low='red', high='white')
"gage_ht" is a column in the NWISJoinCleansf dataframe, and it is a
number object. I got the same exact graph as I did for the code without
the scale_fill_gradient
. My goal is to have the counties shaded by
gradient, with the darkest colors for the highest stream gage heights.
Does anyone know what I am doing wrong?
Edit:
I added the aesthetic to the second geom_sf line and it still didn't work.
Head of NWISJoinCleansf data frame
r ggplot2 sf
I am trying to use ggplot
to plot stream height gage locations from a dataframe (in Special Features or SF format) on top of Nebraska county shapefile data which was also read into R as a SF dataframe. The scale_fill_gradient
piece of my code is not working and filling in the counties with a gradient.
I will show my code below to make it easier to understand:
#Read in Counties shapefile into an sf dataframe, filtering for just Nebraska counties
CountiesShapefile <- st_read('cb_2017_us_county_20m.shp')%>%filter(STATEFP == 31)
#Read in Stream Gage Locations
NWIS <- read.csv('NWIS_SiteInfo_NE_RAW.csv')
#Convert the Stream Gage Dataframe to a SF Dataframe
NWISsf <- st_as_sf(NWIS,
coords = c('dec_long_va', 'dec_lat_va'),
crs = 4269)
#Read in Gage Flow Data
NWISFlow <- read.csv('NWIS_SiteFlowData_NE_RAW.csv')
#Using a Left Join to combine Stream Gage and Gage Flow Dataframes
NWISJoinClean <- left_join(NWIS, NWISFlow, by='station_nm')
#Convert Joined DF back to SF Dataframe
NWISJoinCleansf <- st_as_sf(NWISJoinClean,
coords = c('dec_long_va','dec_lat_va'),
crs = 4269)
#Use ggplot to plot the Gage Locations on top of the counties(this one worked)
GagePlot <- ggplot() +
geom_sf(data = CountiesShapefile, col='purple') +
geom_sf(data = NWISJoinCleansf, col='blue')
#Use ggplot to plot gage sites on top of counties AND show the magnitude of gage
#height by color, shape, or other visualization techniques(issue is here)
GagePlot2 <- ggplot() +
geom_sf(data=CountiesShapefile, col='black') +
geom_sf(data=NWISJoinCleansf, aes(fill=gage_ht))+
scale_fill_gradient("gage_ht",low='red', high='white')
"gage_ht" is a column in the NWISJoinCleansf dataframe, and it is a
number object. I got the same exact graph as I did for the code without
the scale_fill_gradient
. My goal is to have the counties shaded by
gradient, with the darkest colors for the highest stream gage heights.
Does anyone know what I am doing wrong?
Edit:
I added the aesthetic to the second geom_sf line and it still didn't work.
Head of NWISJoinCleansf data frame
r ggplot2 sf
r ggplot2 sf
edited Mar 22 at 14:04
Gaby
asked Mar 22 at 1:29
GabyGaby
23
23
1
You haven't mapped any aesthetic tofill
in your code. Try addingaes(fill = gage_ht)
togeomsf(data = NWISJoinCleansf, ...)
. If that doesn't work, do consider making your problem reproducible by including a sample of your data in your question, e.g.dput(head(NWISJoinCleansf, 20))
or something like that.
– Z.Lin
Mar 22 at 2:46
While it's commendable that you tried to include a data sample, an image of data is not data. Please paste in the actual console output fromdput(...)
. (If you can't get that to look like well-formatted code, someone will probably come along & edit it for you.)
– Z.Lin
Mar 22 at 15:45
add a comment |
1
You haven't mapped any aesthetic tofill
in your code. Try addingaes(fill = gage_ht)
togeomsf(data = NWISJoinCleansf, ...)
. If that doesn't work, do consider making your problem reproducible by including a sample of your data in your question, e.g.dput(head(NWISJoinCleansf, 20))
or something like that.
– Z.Lin
Mar 22 at 2:46
While it's commendable that you tried to include a data sample, an image of data is not data. Please paste in the actual console output fromdput(...)
. (If you can't get that to look like well-formatted code, someone will probably come along & edit it for you.)
– Z.Lin
Mar 22 at 15:45
1
1
You haven't mapped any aesthetic to
fill
in your code. Try adding aes(fill = gage_ht)
to geomsf(data = NWISJoinCleansf, ...)
. If that doesn't work, do consider making your problem reproducible by including a sample of your data in your question, e.g. dput(head(NWISJoinCleansf, 20))
or something like that.– Z.Lin
Mar 22 at 2:46
You haven't mapped any aesthetic to
fill
in your code. Try adding aes(fill = gage_ht)
to geomsf(data = NWISJoinCleansf, ...)
. If that doesn't work, do consider making your problem reproducible by including a sample of your data in your question, e.g. dput(head(NWISJoinCleansf, 20))
or something like that.– Z.Lin
Mar 22 at 2:46
While it's commendable that you tried to include a data sample, an image of data is not data. Please paste in the actual console output from
dput(...)
. (If you can't get that to look like well-formatted code, someone will probably come along & edit it for you.)– Z.Lin
Mar 22 at 15:45
While it's commendable that you tried to include a data sample, an image of data is not data. Please paste in the actual console output from
dput(...)
. (If you can't get that to look like well-formatted code, someone will probably come along & edit it for you.)– Z.Lin
Mar 22 at 15:45
add a comment |
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1
You haven't mapped any aesthetic to
fill
in your code. Try addingaes(fill = gage_ht)
togeomsf(data = NWISJoinCleansf, ...)
. If that doesn't work, do consider making your problem reproducible by including a sample of your data in your question, e.g.dput(head(NWISJoinCleansf, 20))
or something like that.– Z.Lin
Mar 22 at 2:46
While it's commendable that you tried to include a data sample, an image of data is not data. Please paste in the actual console output from
dput(...)
. (If you can't get that to look like well-formatted code, someone will probably come along & edit it for you.)– Z.Lin
Mar 22 at 15:45