drawing lines that have the same latitude and longitude on a map (ggplot, geom_curve)












0















I'd like to get some help from you regarding drawing lines on map using ggplot in R.



Suppose there are two observations, A and B, and their origin and destination longitude and latitude are the same with each other.
I'd like to draw two lines that are not overlapped on the map.



I tried with geom_curve() but it seems to draw two lines on the same trajectory.



Is there a smart way to resolve this issue?
I would say this is sort of similar to geom_repel() but not for texts or labels but for curves.



Thanks.










share|improve this question























  • Hopefully my answer also gives you an idea of how to mock up some sample data for next time as this question may get closed fairly quickly.

    – hrbrmstr
    Nov 17 '18 at 19:10
















0















I'd like to get some help from you regarding drawing lines on map using ggplot in R.



Suppose there are two observations, A and B, and their origin and destination longitude and latitude are the same with each other.
I'd like to draw two lines that are not overlapped on the map.



I tried with geom_curve() but it seems to draw two lines on the same trajectory.



Is there a smart way to resolve this issue?
I would say this is sort of similar to geom_repel() but not for texts or labels but for curves.



Thanks.










share|improve this question























  • Hopefully my answer also gives you an idea of how to mock up some sample data for next time as this question may get closed fairly quickly.

    – hrbrmstr
    Nov 17 '18 at 19:10














0












0








0








I'd like to get some help from you regarding drawing lines on map using ggplot in R.



Suppose there are two observations, A and B, and their origin and destination longitude and latitude are the same with each other.
I'd like to draw two lines that are not overlapped on the map.



I tried with geom_curve() but it seems to draw two lines on the same trajectory.



Is there a smart way to resolve this issue?
I would say this is sort of similar to geom_repel() but not for texts or labels but for curves.



Thanks.










share|improve this question














I'd like to get some help from you regarding drawing lines on map using ggplot in R.



Suppose there are two observations, A and B, and their origin and destination longitude and latitude are the same with each other.
I'd like to draw two lines that are not overlapped on the map.



I tried with geom_curve() but it seems to draw two lines on the same trajectory.



Is there a smart way to resolve this issue?
I would say this is sort of similar to geom_repel() but not for texts or labels but for curves.



Thanks.







r ggplot2






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 17 '18 at 18:38









joonjoon

467




467













  • Hopefully my answer also gives you an idea of how to mock up some sample data for next time as this question may get closed fairly quickly.

    – hrbrmstr
    Nov 17 '18 at 19:10



















  • Hopefully my answer also gives you an idea of how to mock up some sample data for next time as this question may get closed fairly quickly.

    – hrbrmstr
    Nov 17 '18 at 19:10

















Hopefully my answer also gives you an idea of how to mock up some sample data for next time as this question may get closed fairly quickly.

– hrbrmstr
Nov 17 '18 at 19:10





Hopefully my answer also gives you an idea of how to mock up some sample data for next time as this question may get closed fairly quickly.

– hrbrmstr
Nov 17 '18 at 19:10












1 Answer
1






active

oldest

votes


















1














This is a base R solution (a tidyverse one wld look a bit less "code-y" but do essentially the same thing.



If these are, indeed, X & Y pairs then all you have to do is add a mid-point and jitter said mid-point. I have not fully "solutioned" this for you since you really do need to do some work (like filtering the data frame for only those lines with same start/end points before doing this jitter hack):



library(ggplot2)

lines_df <- as.data.frame(state.center, stringsAsFactors = FALSE)[c(4,20,4,20),]
lines_df$grp <- c("a", "a", "b", "b")
lines_df$where <- rep("end", 4)

do.call(
rbind.data.frame,
lapply(
split(lines_df, lines_df$grp),
function(.df) {
rbind.data.frame(
.df,
data.frame(
x = sum(.df$x)/2, y = sum(.df$y)/2,
grp = .df$grp[1], where = "mid",
stringsAsFactors = FALSE
)
)

}
)
) -> lines_df

lines_df[lines_df$where == "mid", "y"] <- jitter(lines_df[lines_df$where == "mid", "y"])

ggplot(lines_df, aes(x, y, group=grp)) +
geom_line(aes(color=grp))


enter image description here



NOTE: this does not take into account the reality of the earth being curved and naive division by 2 over a sufficiently long line (esp depending on the projection) is less than ideal, but this gives you one way to attack the problem.



tidyverse 4eva 🤘🏻 folks who also think this is the most straightforward approach are encouraged to post a tidyverse solution with the same logic.






share|improve this answer
























  • Thank you @hrbrmstr. This is extremely helpful.

    – joon
    Nov 19 '18 at 14:44











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1 Answer
1






active

oldest

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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









1














This is a base R solution (a tidyverse one wld look a bit less "code-y" but do essentially the same thing.



If these are, indeed, X & Y pairs then all you have to do is add a mid-point and jitter said mid-point. I have not fully "solutioned" this for you since you really do need to do some work (like filtering the data frame for only those lines with same start/end points before doing this jitter hack):



library(ggplot2)

lines_df <- as.data.frame(state.center, stringsAsFactors = FALSE)[c(4,20,4,20),]
lines_df$grp <- c("a", "a", "b", "b")
lines_df$where <- rep("end", 4)

do.call(
rbind.data.frame,
lapply(
split(lines_df, lines_df$grp),
function(.df) {
rbind.data.frame(
.df,
data.frame(
x = sum(.df$x)/2, y = sum(.df$y)/2,
grp = .df$grp[1], where = "mid",
stringsAsFactors = FALSE
)
)

}
)
) -> lines_df

lines_df[lines_df$where == "mid", "y"] <- jitter(lines_df[lines_df$where == "mid", "y"])

ggplot(lines_df, aes(x, y, group=grp)) +
geom_line(aes(color=grp))


enter image description here



NOTE: this does not take into account the reality of the earth being curved and naive division by 2 over a sufficiently long line (esp depending on the projection) is less than ideal, but this gives you one way to attack the problem.



tidyverse 4eva 🤘🏻 folks who also think this is the most straightforward approach are encouraged to post a tidyverse solution with the same logic.






share|improve this answer
























  • Thank you @hrbrmstr. This is extremely helpful.

    – joon
    Nov 19 '18 at 14:44
















1














This is a base R solution (a tidyverse one wld look a bit less "code-y" but do essentially the same thing.



If these are, indeed, X & Y pairs then all you have to do is add a mid-point and jitter said mid-point. I have not fully "solutioned" this for you since you really do need to do some work (like filtering the data frame for only those lines with same start/end points before doing this jitter hack):



library(ggplot2)

lines_df <- as.data.frame(state.center, stringsAsFactors = FALSE)[c(4,20,4,20),]
lines_df$grp <- c("a", "a", "b", "b")
lines_df$where <- rep("end", 4)

do.call(
rbind.data.frame,
lapply(
split(lines_df, lines_df$grp),
function(.df) {
rbind.data.frame(
.df,
data.frame(
x = sum(.df$x)/2, y = sum(.df$y)/2,
grp = .df$grp[1], where = "mid",
stringsAsFactors = FALSE
)
)

}
)
) -> lines_df

lines_df[lines_df$where == "mid", "y"] <- jitter(lines_df[lines_df$where == "mid", "y"])

ggplot(lines_df, aes(x, y, group=grp)) +
geom_line(aes(color=grp))


enter image description here



NOTE: this does not take into account the reality of the earth being curved and naive division by 2 over a sufficiently long line (esp depending on the projection) is less than ideal, but this gives you one way to attack the problem.



tidyverse 4eva 🤘🏻 folks who also think this is the most straightforward approach are encouraged to post a tidyverse solution with the same logic.






share|improve this answer
























  • Thank you @hrbrmstr. This is extremely helpful.

    – joon
    Nov 19 '18 at 14:44














1












1








1







This is a base R solution (a tidyverse one wld look a bit less "code-y" but do essentially the same thing.



If these are, indeed, X & Y pairs then all you have to do is add a mid-point and jitter said mid-point. I have not fully "solutioned" this for you since you really do need to do some work (like filtering the data frame for only those lines with same start/end points before doing this jitter hack):



library(ggplot2)

lines_df <- as.data.frame(state.center, stringsAsFactors = FALSE)[c(4,20,4,20),]
lines_df$grp <- c("a", "a", "b", "b")
lines_df$where <- rep("end", 4)

do.call(
rbind.data.frame,
lapply(
split(lines_df, lines_df$grp),
function(.df) {
rbind.data.frame(
.df,
data.frame(
x = sum(.df$x)/2, y = sum(.df$y)/2,
grp = .df$grp[1], where = "mid",
stringsAsFactors = FALSE
)
)

}
)
) -> lines_df

lines_df[lines_df$where == "mid", "y"] <- jitter(lines_df[lines_df$where == "mid", "y"])

ggplot(lines_df, aes(x, y, group=grp)) +
geom_line(aes(color=grp))


enter image description here



NOTE: this does not take into account the reality of the earth being curved and naive division by 2 over a sufficiently long line (esp depending on the projection) is less than ideal, but this gives you one way to attack the problem.



tidyverse 4eva 🤘🏻 folks who also think this is the most straightforward approach are encouraged to post a tidyverse solution with the same logic.






share|improve this answer













This is a base R solution (a tidyverse one wld look a bit less "code-y" but do essentially the same thing.



If these are, indeed, X & Y pairs then all you have to do is add a mid-point and jitter said mid-point. I have not fully "solutioned" this for you since you really do need to do some work (like filtering the data frame for only those lines with same start/end points before doing this jitter hack):



library(ggplot2)

lines_df <- as.data.frame(state.center, stringsAsFactors = FALSE)[c(4,20,4,20),]
lines_df$grp <- c("a", "a", "b", "b")
lines_df$where <- rep("end", 4)

do.call(
rbind.data.frame,
lapply(
split(lines_df, lines_df$grp),
function(.df) {
rbind.data.frame(
.df,
data.frame(
x = sum(.df$x)/2, y = sum(.df$y)/2,
grp = .df$grp[1], where = "mid",
stringsAsFactors = FALSE
)
)

}
)
) -> lines_df

lines_df[lines_df$where == "mid", "y"] <- jitter(lines_df[lines_df$where == "mid", "y"])

ggplot(lines_df, aes(x, y, group=grp)) +
geom_line(aes(color=grp))


enter image description here



NOTE: this does not take into account the reality of the earth being curved and naive division by 2 over a sufficiently long line (esp depending on the projection) is less than ideal, but this gives you one way to attack the problem.



tidyverse 4eva 🤘🏻 folks who also think this is the most straightforward approach are encouraged to post a tidyverse solution with the same logic.







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 17 '18 at 19:07









hrbrmstrhrbrmstr

60.7k688150




60.7k688150













  • Thank you @hrbrmstr. This is extremely helpful.

    – joon
    Nov 19 '18 at 14:44



















  • Thank you @hrbrmstr. This is extremely helpful.

    – joon
    Nov 19 '18 at 14:44

















Thank you @hrbrmstr. This is extremely helpful.

– joon
Nov 19 '18 at 14:44





Thank you @hrbrmstr. This is extremely helpful.

– joon
Nov 19 '18 at 14:44


















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