R ggmap center around 180 degrees longitude












0














I am mapping points falling around 180 degrees longitude using R ang ggmap (see example below).
The map is mostly empty. Is there a way to center the map around longitude = 180 and limit the extent to where the points are?
In other words, I'm interested in limiting the range on the x-axis to 180±14 degrees.



library("ggmap")
x <- structure(list(Bias = structure(c(5L, 4L, 3L, 3L, 4L, 6L, 6L,
3L, 3L, 4L, 3L, 5L, 2L, 3L,
3L, 4L, 4L, 4L, 4L, 4L, 4L,
6L, 5L, 4L, 3L, 6L, 5L, 4L,
5L, 4L, 4L, 3L, 6L, 4L, 6L,
4L, 5L, 4L, 4L, 4L, 3L, 3L,
4L, 2L, 4L, 3L, 3L, 6L, 4L,
5L),
.Label = c("(-Inf,-5]",
"(-5,-2]",
"(-2,0]",
"(0,2]",
"(2,5]",
"(5, Inf]"),
class = "factor"),
lat = c(-1.35, -13.24, -14.31, -16.13, -17.15,
-17.35, -17.75, -18.05, -18.23, -20.67,
-29.24, -34.43, -35.13, -35.9, -37.01,
-37.56, -37.67, -38.66, -38.74, -39.01,
-39.45, -39.47, -40.32, -40.54, -40.9,
-40.9, -41.3, -41.33, -41.73, -41.74,
-42.42, -42.71, -43.49, -44.3, -45.02,
-45.22, -45.93, -46.16, -46.41, -47.28,
-50.49, -52.55, -43.86, -18.15, -12.5,
-19.05, -52.55, -44.53, -38.17, -17.23),
lon = c(176, -176.19, -178.12, -179.98, 176.9,
178.22, 177.45, 178.57, -178.8, -178.72,
-177.93, 172.68, 174.02, 175.12, 174.81,
178.31, 176.2, 177.99, 176.08, 174.18,
175.66, 176.86, 175.61, 173, 174.99,
176.21, 173.22, 174.81, 174.28, 171.58,
173.7, 170.98, 172.53, 171.22, 168.74,
166.88, 170.2, 166.61, 168.32, 167.46,
166.3, 169.15, 169.01, 177.42, 177.05,
178.17, 169.13, 169.89, 174.7, -178.95)),
.Names = c("Bias", "lat", "lon"),
class = "data.frame",
row.names = c(NA, -50L))
# Map extent
xy <- c(left = min(x$lon), bottom = min(x$lat),
right = max(x$lon), top = max(x$lat))
# Download the base map
gg <- get_stamenmap(xy, zoom = 5, maptype = "toner-lite")
ggmap(gg) +
geom_point(data = x, aes(x = lon, y = lat, col = Bias),
size = 1, alpha = 0.9) +
scale_color_viridis(discrete = T)


map










share|improve this question
























  • There's a typo here: longitude = 180. Isn't it latitude?
    – Rui Barradas
    Nov 22 at 18:33










  • Longitude is correct, I'm interested in limiting the range on the x-axis to 180±14
    – Claudia
    Nov 22 at 18:43












  • In principal, you can control the x-axis using + coord_fixed(xlim=c(value1,value2)). However, glueing together the points to the left and the right is a bit harder to accomplish. Maybe this thread is of help: stackoverflow.com/questions/11201997/world-map-with-ggmap
    – Mr. Zen
    Nov 22 at 20:09










  • When you say 180±14, do you want to see 166, ..., 180, -1, ..., -14 in the x-axis? Or is 166, ..., 194 also acceptable?
    – Julius Vainora
    Nov 22 at 20:17










  • Ideally, I'd like to see 166, ..., 180, -180...-170 on the x-axis. This is for consistency with other maps. I suppose I could also plot the range 166-194 and then change the labels on the x-axis, any suggestions on how to achieve this with get_stamenmap?
    – Claudia
    Nov 29 at 10:47
















0














I am mapping points falling around 180 degrees longitude using R ang ggmap (see example below).
The map is mostly empty. Is there a way to center the map around longitude = 180 and limit the extent to where the points are?
In other words, I'm interested in limiting the range on the x-axis to 180±14 degrees.



library("ggmap")
x <- structure(list(Bias = structure(c(5L, 4L, 3L, 3L, 4L, 6L, 6L,
3L, 3L, 4L, 3L, 5L, 2L, 3L,
3L, 4L, 4L, 4L, 4L, 4L, 4L,
6L, 5L, 4L, 3L, 6L, 5L, 4L,
5L, 4L, 4L, 3L, 6L, 4L, 6L,
4L, 5L, 4L, 4L, 4L, 3L, 3L,
4L, 2L, 4L, 3L, 3L, 6L, 4L,
5L),
.Label = c("(-Inf,-5]",
"(-5,-2]",
"(-2,0]",
"(0,2]",
"(2,5]",
"(5, Inf]"),
class = "factor"),
lat = c(-1.35, -13.24, -14.31, -16.13, -17.15,
-17.35, -17.75, -18.05, -18.23, -20.67,
-29.24, -34.43, -35.13, -35.9, -37.01,
-37.56, -37.67, -38.66, -38.74, -39.01,
-39.45, -39.47, -40.32, -40.54, -40.9,
-40.9, -41.3, -41.33, -41.73, -41.74,
-42.42, -42.71, -43.49, -44.3, -45.02,
-45.22, -45.93, -46.16, -46.41, -47.28,
-50.49, -52.55, -43.86, -18.15, -12.5,
-19.05, -52.55, -44.53, -38.17, -17.23),
lon = c(176, -176.19, -178.12, -179.98, 176.9,
178.22, 177.45, 178.57, -178.8, -178.72,
-177.93, 172.68, 174.02, 175.12, 174.81,
178.31, 176.2, 177.99, 176.08, 174.18,
175.66, 176.86, 175.61, 173, 174.99,
176.21, 173.22, 174.81, 174.28, 171.58,
173.7, 170.98, 172.53, 171.22, 168.74,
166.88, 170.2, 166.61, 168.32, 167.46,
166.3, 169.15, 169.01, 177.42, 177.05,
178.17, 169.13, 169.89, 174.7, -178.95)),
.Names = c("Bias", "lat", "lon"),
class = "data.frame",
row.names = c(NA, -50L))
# Map extent
xy <- c(left = min(x$lon), bottom = min(x$lat),
right = max(x$lon), top = max(x$lat))
# Download the base map
gg <- get_stamenmap(xy, zoom = 5, maptype = "toner-lite")
ggmap(gg) +
geom_point(data = x, aes(x = lon, y = lat, col = Bias),
size = 1, alpha = 0.9) +
scale_color_viridis(discrete = T)


map










share|improve this question
























  • There's a typo here: longitude = 180. Isn't it latitude?
    – Rui Barradas
    Nov 22 at 18:33










  • Longitude is correct, I'm interested in limiting the range on the x-axis to 180±14
    – Claudia
    Nov 22 at 18:43












  • In principal, you can control the x-axis using + coord_fixed(xlim=c(value1,value2)). However, glueing together the points to the left and the right is a bit harder to accomplish. Maybe this thread is of help: stackoverflow.com/questions/11201997/world-map-with-ggmap
    – Mr. Zen
    Nov 22 at 20:09










  • When you say 180±14, do you want to see 166, ..., 180, -1, ..., -14 in the x-axis? Or is 166, ..., 194 also acceptable?
    – Julius Vainora
    Nov 22 at 20:17










  • Ideally, I'd like to see 166, ..., 180, -180...-170 on the x-axis. This is for consistency with other maps. I suppose I could also plot the range 166-194 and then change the labels on the x-axis, any suggestions on how to achieve this with get_stamenmap?
    – Claudia
    Nov 29 at 10:47














0












0








0







I am mapping points falling around 180 degrees longitude using R ang ggmap (see example below).
The map is mostly empty. Is there a way to center the map around longitude = 180 and limit the extent to where the points are?
In other words, I'm interested in limiting the range on the x-axis to 180±14 degrees.



library("ggmap")
x <- structure(list(Bias = structure(c(5L, 4L, 3L, 3L, 4L, 6L, 6L,
3L, 3L, 4L, 3L, 5L, 2L, 3L,
3L, 4L, 4L, 4L, 4L, 4L, 4L,
6L, 5L, 4L, 3L, 6L, 5L, 4L,
5L, 4L, 4L, 3L, 6L, 4L, 6L,
4L, 5L, 4L, 4L, 4L, 3L, 3L,
4L, 2L, 4L, 3L, 3L, 6L, 4L,
5L),
.Label = c("(-Inf,-5]",
"(-5,-2]",
"(-2,0]",
"(0,2]",
"(2,5]",
"(5, Inf]"),
class = "factor"),
lat = c(-1.35, -13.24, -14.31, -16.13, -17.15,
-17.35, -17.75, -18.05, -18.23, -20.67,
-29.24, -34.43, -35.13, -35.9, -37.01,
-37.56, -37.67, -38.66, -38.74, -39.01,
-39.45, -39.47, -40.32, -40.54, -40.9,
-40.9, -41.3, -41.33, -41.73, -41.74,
-42.42, -42.71, -43.49, -44.3, -45.02,
-45.22, -45.93, -46.16, -46.41, -47.28,
-50.49, -52.55, -43.86, -18.15, -12.5,
-19.05, -52.55, -44.53, -38.17, -17.23),
lon = c(176, -176.19, -178.12, -179.98, 176.9,
178.22, 177.45, 178.57, -178.8, -178.72,
-177.93, 172.68, 174.02, 175.12, 174.81,
178.31, 176.2, 177.99, 176.08, 174.18,
175.66, 176.86, 175.61, 173, 174.99,
176.21, 173.22, 174.81, 174.28, 171.58,
173.7, 170.98, 172.53, 171.22, 168.74,
166.88, 170.2, 166.61, 168.32, 167.46,
166.3, 169.15, 169.01, 177.42, 177.05,
178.17, 169.13, 169.89, 174.7, -178.95)),
.Names = c("Bias", "lat", "lon"),
class = "data.frame",
row.names = c(NA, -50L))
# Map extent
xy <- c(left = min(x$lon), bottom = min(x$lat),
right = max(x$lon), top = max(x$lat))
# Download the base map
gg <- get_stamenmap(xy, zoom = 5, maptype = "toner-lite")
ggmap(gg) +
geom_point(data = x, aes(x = lon, y = lat, col = Bias),
size = 1, alpha = 0.9) +
scale_color_viridis(discrete = T)


map










share|improve this question















I am mapping points falling around 180 degrees longitude using R ang ggmap (see example below).
The map is mostly empty. Is there a way to center the map around longitude = 180 and limit the extent to where the points are?
In other words, I'm interested in limiting the range on the x-axis to 180±14 degrees.



library("ggmap")
x <- structure(list(Bias = structure(c(5L, 4L, 3L, 3L, 4L, 6L, 6L,
3L, 3L, 4L, 3L, 5L, 2L, 3L,
3L, 4L, 4L, 4L, 4L, 4L, 4L,
6L, 5L, 4L, 3L, 6L, 5L, 4L,
5L, 4L, 4L, 3L, 6L, 4L, 6L,
4L, 5L, 4L, 4L, 4L, 3L, 3L,
4L, 2L, 4L, 3L, 3L, 6L, 4L,
5L),
.Label = c("(-Inf,-5]",
"(-5,-2]",
"(-2,0]",
"(0,2]",
"(2,5]",
"(5, Inf]"),
class = "factor"),
lat = c(-1.35, -13.24, -14.31, -16.13, -17.15,
-17.35, -17.75, -18.05, -18.23, -20.67,
-29.24, -34.43, -35.13, -35.9, -37.01,
-37.56, -37.67, -38.66, -38.74, -39.01,
-39.45, -39.47, -40.32, -40.54, -40.9,
-40.9, -41.3, -41.33, -41.73, -41.74,
-42.42, -42.71, -43.49, -44.3, -45.02,
-45.22, -45.93, -46.16, -46.41, -47.28,
-50.49, -52.55, -43.86, -18.15, -12.5,
-19.05, -52.55, -44.53, -38.17, -17.23),
lon = c(176, -176.19, -178.12, -179.98, 176.9,
178.22, 177.45, 178.57, -178.8, -178.72,
-177.93, 172.68, 174.02, 175.12, 174.81,
178.31, 176.2, 177.99, 176.08, 174.18,
175.66, 176.86, 175.61, 173, 174.99,
176.21, 173.22, 174.81, 174.28, 171.58,
173.7, 170.98, 172.53, 171.22, 168.74,
166.88, 170.2, 166.61, 168.32, 167.46,
166.3, 169.15, 169.01, 177.42, 177.05,
178.17, 169.13, 169.89, 174.7, -178.95)),
.Names = c("Bias", "lat", "lon"),
class = "data.frame",
row.names = c(NA, -50L))
# Map extent
xy <- c(left = min(x$lon), bottom = min(x$lat),
right = max(x$lon), top = max(x$lat))
# Download the base map
gg <- get_stamenmap(xy, zoom = 5, maptype = "toner-lite")
ggmap(gg) +
geom_point(data = x, aes(x = lon, y = lat, col = Bias),
size = 1, alpha = 0.9) +
scale_color_viridis(discrete = T)


map







r ggmap






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 22 at 18:49

























asked Nov 22 at 17:58









Claudia

4591519




4591519












  • There's a typo here: longitude = 180. Isn't it latitude?
    – Rui Barradas
    Nov 22 at 18:33










  • Longitude is correct, I'm interested in limiting the range on the x-axis to 180±14
    – Claudia
    Nov 22 at 18:43












  • In principal, you can control the x-axis using + coord_fixed(xlim=c(value1,value2)). However, glueing together the points to the left and the right is a bit harder to accomplish. Maybe this thread is of help: stackoverflow.com/questions/11201997/world-map-with-ggmap
    – Mr. Zen
    Nov 22 at 20:09










  • When you say 180±14, do you want to see 166, ..., 180, -1, ..., -14 in the x-axis? Or is 166, ..., 194 also acceptable?
    – Julius Vainora
    Nov 22 at 20:17










  • Ideally, I'd like to see 166, ..., 180, -180...-170 on the x-axis. This is for consistency with other maps. I suppose I could also plot the range 166-194 and then change the labels on the x-axis, any suggestions on how to achieve this with get_stamenmap?
    – Claudia
    Nov 29 at 10:47


















  • There's a typo here: longitude = 180. Isn't it latitude?
    – Rui Barradas
    Nov 22 at 18:33










  • Longitude is correct, I'm interested in limiting the range on the x-axis to 180±14
    – Claudia
    Nov 22 at 18:43












  • In principal, you can control the x-axis using + coord_fixed(xlim=c(value1,value2)). However, glueing together the points to the left and the right is a bit harder to accomplish. Maybe this thread is of help: stackoverflow.com/questions/11201997/world-map-with-ggmap
    – Mr. Zen
    Nov 22 at 20:09










  • When you say 180±14, do you want to see 166, ..., 180, -1, ..., -14 in the x-axis? Or is 166, ..., 194 also acceptable?
    – Julius Vainora
    Nov 22 at 20:17










  • Ideally, I'd like to see 166, ..., 180, -180...-170 on the x-axis. This is for consistency with other maps. I suppose I could also plot the range 166-194 and then change the labels on the x-axis, any suggestions on how to achieve this with get_stamenmap?
    – Claudia
    Nov 29 at 10:47
















There's a typo here: longitude = 180. Isn't it latitude?
– Rui Barradas
Nov 22 at 18:33




There's a typo here: longitude = 180. Isn't it latitude?
– Rui Barradas
Nov 22 at 18:33












Longitude is correct, I'm interested in limiting the range on the x-axis to 180±14
– Claudia
Nov 22 at 18:43






Longitude is correct, I'm interested in limiting the range on the x-axis to 180±14
– Claudia
Nov 22 at 18:43














In principal, you can control the x-axis using + coord_fixed(xlim=c(value1,value2)). However, glueing together the points to the left and the right is a bit harder to accomplish. Maybe this thread is of help: stackoverflow.com/questions/11201997/world-map-with-ggmap
– Mr. Zen
Nov 22 at 20:09




In principal, you can control the x-axis using + coord_fixed(xlim=c(value1,value2)). However, glueing together the points to the left and the right is a bit harder to accomplish. Maybe this thread is of help: stackoverflow.com/questions/11201997/world-map-with-ggmap
– Mr. Zen
Nov 22 at 20:09












When you say 180±14, do you want to see 166, ..., 180, -1, ..., -14 in the x-axis? Or is 166, ..., 194 also acceptable?
– Julius Vainora
Nov 22 at 20:17




When you say 180±14, do you want to see 166, ..., 180, -1, ..., -14 in the x-axis? Or is 166, ..., 194 also acceptable?
– Julius Vainora
Nov 22 at 20:17












Ideally, I'd like to see 166, ..., 180, -180...-170 on the x-axis. This is for consistency with other maps. I suppose I could also plot the range 166-194 and then change the labels on the x-axis, any suggestions on how to achieve this with get_stamenmap?
– Claudia
Nov 29 at 10:47




Ideally, I'd like to see 166, ..., 180, -180...-170 on the x-axis. This is for consistency with other maps. I suppose I could also plot the range 166-194 and then change the labels on the x-axis, any suggestions on how to achieve this with get_stamenmap?
– Claudia
Nov 29 at 10:47












2 Answers
2






active

oldest

votes


















0














Could not figure out how to do this using ggmap.
However, here is the solution using the ggplot and maps packages (modified version of the code here: World map with ggmap).



library(maps)
library(ggplot2)

# x is the data.frame defined in the question

# Recenter points
center <- 180
# shift coordinates to recenter x
x$long.recenter <- ifelse(x$lon < center - 180 , x$lon + 360, x$lon)

# shift coordinates to recenter worldmap
worldmap <- map_data ("world", wrap = c(0, 360))

# Plot worldmap using data from worldmap.cp
ggplot(aes(x = long, y = lat), data = worldmap) +
geom_polygon(aes(group = group), fill="#f9f9f9", colour = "grey65") +
scale_y_continuous(limits = c(-60, 0)) +
scale_x_continuous(limits = c(180 - 20, 180 + 15),
breaks = seq(160, 190, 10),
labels = c(160, 170, "180/-180", -170)) +
coord_equal() + theme_bw() +
geom_point(data = x,
aes(x = long.recenter, y = lat, col = Bias),
pch = 19, size = 3, alpha = .4) +
xlab("Longitude") + ylab("Latitude")


map






share|improve this answer































    0














    1



    It's more an issue with stamen and data structures than with anything else. Not a problem with Google Maps and a bit of data wrangling.



    Code:



    # Using your data as basis
    x[x$lon < 0, ]$lon <- 2*180 + x[x$lon < 0, ]$lon

    # Get map with lon center opposite the Meridian
    g <- ggmap(get_googlemap(c(180, 0), zoom = 1), extent = "panel")

    # Plot map with boundaries
    g + scale_x_continuous(limits = c(0, 360), expand = c(0,0)) +
    scale_y_continuous(limits = c(-70, 70), expand = c(0,0)) +
    # Plot data points
    geom_point(data = x, aes(x = lon, y = lat, color = Bias),
    size = 1, alpha = 0.9) +
    # Add custom color scheme
    scale_color_viridis(discrete = T)


    Explanation:



    If you use zoom = 1 with the current Google Maps API it gives you a bit of longitude overlap left and right which you can cut to your liking.



    > g$data
    lon lat
    1 -44.64844 -87.75631
    2 405.35156 -87.75631
    3 -44.64844 87.72862
    4 405.35156 87.72862


    If you check the boundaries of the raw map above you see that we have total 450 degrees of longitude (44.64844 + 405.35156) that we can use. Therefore, we can cut down our map to lon = c(0, 360) and lat = c(-70, 70) (using scale_x_continuous and scale_y_continuous, respectively) which will leave the center point at exactly lon = 180 and lat = 0.



    Your data, however, uses the right longitude values of 0:-180 (West) and 0:180 (East). Therefore, we also need to update the longitude values that are below zero to the corresponding value in a 0:360 system. This is achieved by 180 + 180 + lon (so longitude = -172 will turn into longitude = 188 for the purpose of plotting).



    Visualization:



    2



    3






    share|improve this answer























    • Thanks for the detailed explanation. Unfortunately I am not allowed to use Google Maps. What is the problem with stamen?
      – Claudia
      Nov 29 at 10:45










    • Stamen wants a boundary box with min_longitude < max_longitude (and a value range of -180 to +180). There is no way I know you can achieve what you want with the current API / call method without having to stitch stuff together.
      – Roman
      Dec 24 at 20:53











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    2 Answers
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    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    Could not figure out how to do this using ggmap.
    However, here is the solution using the ggplot and maps packages (modified version of the code here: World map with ggmap).



    library(maps)
    library(ggplot2)

    # x is the data.frame defined in the question

    # Recenter points
    center <- 180
    # shift coordinates to recenter x
    x$long.recenter <- ifelse(x$lon < center - 180 , x$lon + 360, x$lon)

    # shift coordinates to recenter worldmap
    worldmap <- map_data ("world", wrap = c(0, 360))

    # Plot worldmap using data from worldmap.cp
    ggplot(aes(x = long, y = lat), data = worldmap) +
    geom_polygon(aes(group = group), fill="#f9f9f9", colour = "grey65") +
    scale_y_continuous(limits = c(-60, 0)) +
    scale_x_continuous(limits = c(180 - 20, 180 + 15),
    breaks = seq(160, 190, 10),
    labels = c(160, 170, "180/-180", -170)) +
    coord_equal() + theme_bw() +
    geom_point(data = x,
    aes(x = long.recenter, y = lat, col = Bias),
    pch = 19, size = 3, alpha = .4) +
    xlab("Longitude") + ylab("Latitude")


    map






    share|improve this answer




























      0














      Could not figure out how to do this using ggmap.
      However, here is the solution using the ggplot and maps packages (modified version of the code here: World map with ggmap).



      library(maps)
      library(ggplot2)

      # x is the data.frame defined in the question

      # Recenter points
      center <- 180
      # shift coordinates to recenter x
      x$long.recenter <- ifelse(x$lon < center - 180 , x$lon + 360, x$lon)

      # shift coordinates to recenter worldmap
      worldmap <- map_data ("world", wrap = c(0, 360))

      # Plot worldmap using data from worldmap.cp
      ggplot(aes(x = long, y = lat), data = worldmap) +
      geom_polygon(aes(group = group), fill="#f9f9f9", colour = "grey65") +
      scale_y_continuous(limits = c(-60, 0)) +
      scale_x_continuous(limits = c(180 - 20, 180 + 15),
      breaks = seq(160, 190, 10),
      labels = c(160, 170, "180/-180", -170)) +
      coord_equal() + theme_bw() +
      geom_point(data = x,
      aes(x = long.recenter, y = lat, col = Bias),
      pch = 19, size = 3, alpha = .4) +
      xlab("Longitude") + ylab("Latitude")


      map






      share|improve this answer


























        0












        0








        0






        Could not figure out how to do this using ggmap.
        However, here is the solution using the ggplot and maps packages (modified version of the code here: World map with ggmap).



        library(maps)
        library(ggplot2)

        # x is the data.frame defined in the question

        # Recenter points
        center <- 180
        # shift coordinates to recenter x
        x$long.recenter <- ifelse(x$lon < center - 180 , x$lon + 360, x$lon)

        # shift coordinates to recenter worldmap
        worldmap <- map_data ("world", wrap = c(0, 360))

        # Plot worldmap using data from worldmap.cp
        ggplot(aes(x = long, y = lat), data = worldmap) +
        geom_polygon(aes(group = group), fill="#f9f9f9", colour = "grey65") +
        scale_y_continuous(limits = c(-60, 0)) +
        scale_x_continuous(limits = c(180 - 20, 180 + 15),
        breaks = seq(160, 190, 10),
        labels = c(160, 170, "180/-180", -170)) +
        coord_equal() + theme_bw() +
        geom_point(data = x,
        aes(x = long.recenter, y = lat, col = Bias),
        pch = 19, size = 3, alpha = .4) +
        xlab("Longitude") + ylab("Latitude")


        map






        share|improve this answer














        Could not figure out how to do this using ggmap.
        However, here is the solution using the ggplot and maps packages (modified version of the code here: World map with ggmap).



        library(maps)
        library(ggplot2)

        # x is the data.frame defined in the question

        # Recenter points
        center <- 180
        # shift coordinates to recenter x
        x$long.recenter <- ifelse(x$lon < center - 180 , x$lon + 360, x$lon)

        # shift coordinates to recenter worldmap
        worldmap <- map_data ("world", wrap = c(0, 360))

        # Plot worldmap using data from worldmap.cp
        ggplot(aes(x = long, y = lat), data = worldmap) +
        geom_polygon(aes(group = group), fill="#f9f9f9", colour = "grey65") +
        scale_y_continuous(limits = c(-60, 0)) +
        scale_x_continuous(limits = c(180 - 20, 180 + 15),
        breaks = seq(160, 190, 10),
        labels = c(160, 170, "180/-180", -170)) +
        coord_equal() + theme_bw() +
        geom_point(data = x,
        aes(x = long.recenter, y = lat, col = Bias),
        pch = 19, size = 3, alpha = .4) +
        xlab("Longitude") + ylab("Latitude")


        map







        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 23 at 10:50

























        answered Nov 23 at 9:29









        Claudia

        4591519




        4591519

























            0














            1



            It's more an issue with stamen and data structures than with anything else. Not a problem with Google Maps and a bit of data wrangling.



            Code:



            # Using your data as basis
            x[x$lon < 0, ]$lon <- 2*180 + x[x$lon < 0, ]$lon

            # Get map with lon center opposite the Meridian
            g <- ggmap(get_googlemap(c(180, 0), zoom = 1), extent = "panel")

            # Plot map with boundaries
            g + scale_x_continuous(limits = c(0, 360), expand = c(0,0)) +
            scale_y_continuous(limits = c(-70, 70), expand = c(0,0)) +
            # Plot data points
            geom_point(data = x, aes(x = lon, y = lat, color = Bias),
            size = 1, alpha = 0.9) +
            # Add custom color scheme
            scale_color_viridis(discrete = T)


            Explanation:



            If you use zoom = 1 with the current Google Maps API it gives you a bit of longitude overlap left and right which you can cut to your liking.



            > g$data
            lon lat
            1 -44.64844 -87.75631
            2 405.35156 -87.75631
            3 -44.64844 87.72862
            4 405.35156 87.72862


            If you check the boundaries of the raw map above you see that we have total 450 degrees of longitude (44.64844 + 405.35156) that we can use. Therefore, we can cut down our map to lon = c(0, 360) and lat = c(-70, 70) (using scale_x_continuous and scale_y_continuous, respectively) which will leave the center point at exactly lon = 180 and lat = 0.



            Your data, however, uses the right longitude values of 0:-180 (West) and 0:180 (East). Therefore, we also need to update the longitude values that are below zero to the corresponding value in a 0:360 system. This is achieved by 180 + 180 + lon (so longitude = -172 will turn into longitude = 188 for the purpose of plotting).



            Visualization:



            2



            3






            share|improve this answer























            • Thanks for the detailed explanation. Unfortunately I am not allowed to use Google Maps. What is the problem with stamen?
              – Claudia
              Nov 29 at 10:45










            • Stamen wants a boundary box with min_longitude < max_longitude (and a value range of -180 to +180). There is no way I know you can achieve what you want with the current API / call method without having to stitch stuff together.
              – Roman
              Dec 24 at 20:53
















            0














            1



            It's more an issue with stamen and data structures than with anything else. Not a problem with Google Maps and a bit of data wrangling.



            Code:



            # Using your data as basis
            x[x$lon < 0, ]$lon <- 2*180 + x[x$lon < 0, ]$lon

            # Get map with lon center opposite the Meridian
            g <- ggmap(get_googlemap(c(180, 0), zoom = 1), extent = "panel")

            # Plot map with boundaries
            g + scale_x_continuous(limits = c(0, 360), expand = c(0,0)) +
            scale_y_continuous(limits = c(-70, 70), expand = c(0,0)) +
            # Plot data points
            geom_point(data = x, aes(x = lon, y = lat, color = Bias),
            size = 1, alpha = 0.9) +
            # Add custom color scheme
            scale_color_viridis(discrete = T)


            Explanation:



            If you use zoom = 1 with the current Google Maps API it gives you a bit of longitude overlap left and right which you can cut to your liking.



            > g$data
            lon lat
            1 -44.64844 -87.75631
            2 405.35156 -87.75631
            3 -44.64844 87.72862
            4 405.35156 87.72862


            If you check the boundaries of the raw map above you see that we have total 450 degrees of longitude (44.64844 + 405.35156) that we can use. Therefore, we can cut down our map to lon = c(0, 360) and lat = c(-70, 70) (using scale_x_continuous and scale_y_continuous, respectively) which will leave the center point at exactly lon = 180 and lat = 0.



            Your data, however, uses the right longitude values of 0:-180 (West) and 0:180 (East). Therefore, we also need to update the longitude values that are below zero to the corresponding value in a 0:360 system. This is achieved by 180 + 180 + lon (so longitude = -172 will turn into longitude = 188 for the purpose of plotting).



            Visualization:



            2



            3






            share|improve this answer























            • Thanks for the detailed explanation. Unfortunately I am not allowed to use Google Maps. What is the problem with stamen?
              – Claudia
              Nov 29 at 10:45










            • Stamen wants a boundary box with min_longitude < max_longitude (and a value range of -180 to +180). There is no way I know you can achieve what you want with the current API / call method without having to stitch stuff together.
              – Roman
              Dec 24 at 20:53














            0












            0








            0






            1



            It's more an issue with stamen and data structures than with anything else. Not a problem with Google Maps and a bit of data wrangling.



            Code:



            # Using your data as basis
            x[x$lon < 0, ]$lon <- 2*180 + x[x$lon < 0, ]$lon

            # Get map with lon center opposite the Meridian
            g <- ggmap(get_googlemap(c(180, 0), zoom = 1), extent = "panel")

            # Plot map with boundaries
            g + scale_x_continuous(limits = c(0, 360), expand = c(0,0)) +
            scale_y_continuous(limits = c(-70, 70), expand = c(0,0)) +
            # Plot data points
            geom_point(data = x, aes(x = lon, y = lat, color = Bias),
            size = 1, alpha = 0.9) +
            # Add custom color scheme
            scale_color_viridis(discrete = T)


            Explanation:



            If you use zoom = 1 with the current Google Maps API it gives you a bit of longitude overlap left and right which you can cut to your liking.



            > g$data
            lon lat
            1 -44.64844 -87.75631
            2 405.35156 -87.75631
            3 -44.64844 87.72862
            4 405.35156 87.72862


            If you check the boundaries of the raw map above you see that we have total 450 degrees of longitude (44.64844 + 405.35156) that we can use. Therefore, we can cut down our map to lon = c(0, 360) and lat = c(-70, 70) (using scale_x_continuous and scale_y_continuous, respectively) which will leave the center point at exactly lon = 180 and lat = 0.



            Your data, however, uses the right longitude values of 0:-180 (West) and 0:180 (East). Therefore, we also need to update the longitude values that are below zero to the corresponding value in a 0:360 system. This is achieved by 180 + 180 + lon (so longitude = -172 will turn into longitude = 188 for the purpose of plotting).



            Visualization:



            2



            3






            share|improve this answer














            1



            It's more an issue with stamen and data structures than with anything else. Not a problem with Google Maps and a bit of data wrangling.



            Code:



            # Using your data as basis
            x[x$lon < 0, ]$lon <- 2*180 + x[x$lon < 0, ]$lon

            # Get map with lon center opposite the Meridian
            g <- ggmap(get_googlemap(c(180, 0), zoom = 1), extent = "panel")

            # Plot map with boundaries
            g + scale_x_continuous(limits = c(0, 360), expand = c(0,0)) +
            scale_y_continuous(limits = c(-70, 70), expand = c(0,0)) +
            # Plot data points
            geom_point(data = x, aes(x = lon, y = lat, color = Bias),
            size = 1, alpha = 0.9) +
            # Add custom color scheme
            scale_color_viridis(discrete = T)


            Explanation:



            If you use zoom = 1 with the current Google Maps API it gives you a bit of longitude overlap left and right which you can cut to your liking.



            > g$data
            lon lat
            1 -44.64844 -87.75631
            2 405.35156 -87.75631
            3 -44.64844 87.72862
            4 405.35156 87.72862


            If you check the boundaries of the raw map above you see that we have total 450 degrees of longitude (44.64844 + 405.35156) that we can use. Therefore, we can cut down our map to lon = c(0, 360) and lat = c(-70, 70) (using scale_x_continuous and scale_y_continuous, respectively) which will leave the center point at exactly lon = 180 and lat = 0.



            Your data, however, uses the right longitude values of 0:-180 (West) and 0:180 (East). Therefore, we also need to update the longitude values that are below zero to the corresponding value in a 0:360 system. This is achieved by 180 + 180 + lon (so longitude = -172 will turn into longitude = 188 for the purpose of plotting).



            Visualization:



            2



            3







            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Nov 24 at 19:52

























            answered Nov 24 at 19:19









            Roman

            1,597222




            1,597222












            • Thanks for the detailed explanation. Unfortunately I am not allowed to use Google Maps. What is the problem with stamen?
              – Claudia
              Nov 29 at 10:45










            • Stamen wants a boundary box with min_longitude < max_longitude (and a value range of -180 to +180). There is no way I know you can achieve what you want with the current API / call method without having to stitch stuff together.
              – Roman
              Dec 24 at 20:53


















            • Thanks for the detailed explanation. Unfortunately I am not allowed to use Google Maps. What is the problem with stamen?
              – Claudia
              Nov 29 at 10:45










            • Stamen wants a boundary box with min_longitude < max_longitude (and a value range of -180 to +180). There is no way I know you can achieve what you want with the current API / call method without having to stitch stuff together.
              – Roman
              Dec 24 at 20:53
















            Thanks for the detailed explanation. Unfortunately I am not allowed to use Google Maps. What is the problem with stamen?
            – Claudia
            Nov 29 at 10:45




            Thanks for the detailed explanation. Unfortunately I am not allowed to use Google Maps. What is the problem with stamen?
            – Claudia
            Nov 29 at 10:45












            Stamen wants a boundary box with min_longitude < max_longitude (and a value range of -180 to +180). There is no way I know you can achieve what you want with the current API / call method without having to stitch stuff together.
            – Roman
            Dec 24 at 20:53




            Stamen wants a boundary box with min_longitude < max_longitude (and a value range of -180 to +180). There is no way I know you can achieve what you want with the current API / call method without having to stitch stuff together.
            – Roman
            Dec 24 at 20:53


















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