r - 在ggmap中绘制曲线，geom_curve不起作用

Question

我想用城市之间的曲线绘制荷兰的 map 。我有两个名为第一的数据框:df_verticles，其中包含24个城市的经纬度组合。第二个数据帧称为:df我想用来在从组合到经纬到组合的纬度/经度之间绘制一条曲线。

> head(df_vertices)
        city AmountSessions   totalkWh AmountRFID scaledAmount   scaledkWh Latitude Longitude
1    Alkmaar          13608  104554.68       1326   0.07139012 0.026941910 52.63903  4.755538
2     Almere          11281  100841.42        930   0.05006999 0.025985067 52.39447  5.282043
3 Amersfoort           7719   67663.30       1198   0.06449876 0.017435647 52.15108  5.383069
4 Amstelveen          25794  236437.93       2616   0.14084204 0.060925915 52.31724  4.859266
5  Amsterdam         402365 3880744.86      18574   1.00000000 1.000000000 52.34560  4.808834

> head(df)
CityChargeSessions   NextCity Amount    sumkWh scaledAmount  scaledkWh Latitude_from Longitude_from Latitude_to Longitude_to
1          Amsterdam    Alkmaar   1058  8133.736   0.18438480 0.15480933      52.34560       4.808834    52.63903     4.755538
2          Amsterdam     Almere    998  7254.133   0.17392820 0.13806786      52.34560       4.808834    52.39447     5.282043
3          Amsterdam Amersfoort    566  4977.404   0.09864064 0.09473489      52.34560       4.808834    52.15108     5.383069
4          Amsterdam Amstelveen   3724 24210.289   0.64900662 0.46079423      52.34560       4.808834    52.31724     4.859266
5             Almere  Amsterdam   1034  8685.526   0.18020216 0.16531155      52.39447       5.282043    52.34560     4.808834
6         Amersfoort  Amsterdam    579  4936.823   0.10090624 0.09396251      52.15108       5.383069    52.34560     4.808834

通常，ggmap只是ggplot的底层，因此我决定先在ggplot中绘制所需的图:

ggplot_curve<- ggplot()+
geom_text(data=df_vertices, aes(x = Longitude, y = Latitude+0.025, label = df_vertices$city), size=6)+
geom_point(aes(x = Longitude, y = Latitude, size=scaledkWh), colour="red", data = df_vertices, alpha =0.5)+
scale_size_continuous(range=c(1,30))+
geom_curve(data=df, aes(x=Longitude_from, y=Latitude_from, xend=Longitude_to, yend=Latitude_to),
                    arrow=arrow(angle=15,ends="first",length=unit(0.7,"cm"),type="closed"), size= df$scaledAmount,alpha=0.5, curvature = 0.15)+
theme_bw()

这正是我想要的，现在我只想添加所需的ggmap作为底层。

现在我只是用ggmap替换ggplot()

ggmap_with_curve<- ggmap(map)+
geom_point(aes(x = Longitude, y = Latitude, size=scaledkWh), colour="red", data = df_vertices, alpha =0.5)+
scale_size_continuous(range=c(1,30))+
 geom_curve(data=df, aes(x=Longitude_from, y=Latitude_from, xend=Longitude_to, yend=Latitude_to),
         arrow=arrow(angle=15,ends="first",length=unit(0.7,"cm"),type="closed"), size= df$scaledAmount,alpha=0.5, curvature = 0.15)

如您所见，这不是我想要的输出，R给了我这个错误信息:

geom_curve is not implemented for non-linear coordinates.

我试图用谷歌搜索，但我自己修复。

因此，我的问题是如何获得具有所需图作为底层的ggplot输出。有人可以帮我吗？

Answer 1

我认为使用coord_cartesian()可以满足您的需求。使用帖子中显示的5行

map <- get_map(location = "Amsterdam", zoom = 11)
ggmap(map) +
  geom_point(data = df_vertices,
             aes(x = Longitude, y = Latitude, size = scaledkWh),
             colour = "red", alpha =0.5) +
 geom_curve(data = df,
            aes(x = Longitude_from, y = Latitude_from, xend = Longitude_to, yend = Latitude_to),    
            arrow = arrow(angle = 15, ends = "first", length = unit(0.5, "cm"), type = "closed"),
            size = df$scaledAmount, alpha = 0.5, curvature = 0.15, inherit.aes = TRUE)
scale_size_continuous(range=c(1,30)) +
coord_cartesian()