如何在R中的geom_segment / ggplot2中绘制定向蜘蛛网?

How to draw directional spider network in geom_segment/ggplot2 in R?

我正在尝试绘制所谓的spider networkdesire line,它们按方向说明了特定区域之间的事物(人,车辆等)的运动。

这是我正在使用的数据框:

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df <- data.frame(O=c(1,2,4,4,4,6,6,6,7,7,7,9,9,9,9,10,10,10,11,12,12,12,32,86,108,128,128,157,157,157,157,157),
D=c(2,1,6,7,32,4,7,157,4,6,157,10,11,12,157,9,12,157,9,9,10,157,4,128,128,86,108,6,7,9,10,12),
trip=c(971,971,416,621,330,416,620,1134,621,620,625,675,675,378,439,675,724,472,675,378,724,563,330,610,405,610,405,1134,625,439,472,563),
lon.x=c(697746.6,696929.6,696748.8,696748.8,696748.8,694906.4,694906.4,694906.4,696769.4,696769.4,696769.4,698802.2,698802.2,698802.2,698802.2,698900.5,698900.5,698900.5,699686.7,696822.0,696822.0,696822.0,698250.7,702314.7,700907.1,702839.5,702839.5,694518.9,694518.9,694518.9,694518.9,694518.9),
lat.x=c(9312405,9311051,9308338,9308338,9308338,9307087,9307087,9307087,9305947,9305947,9305947,9304338,9304338,9304338,9304338,9302314,9302314,9302314,9306300,9303080,9303080,9303080,9309423,9320738,9321302,9322619,9322619,9301921,9301921,9301921,9301921,9301921),
lon.y=c(696929.6,697746.6,694906.4,696769.4,698250.7,696748.8,696769.4,694518.9,696748.8,694906.4,694518.9,698900.5,699686.7,696822.0,694518.9,698802.2,696822.0,694518.9,698802.2,698802.2,698900.5,694518.9,696748.8,702839.5,702839.5,702314.7,700907.1,694906.4,696769.4,698802.2,698900.5,696822.0),
lat.y=c(9311051,9312405,9307087,9305947,9309423,9308338,9305947,9301921,9308338,9307087,9301921,9302314,9306300,9303080,9301921,9304338,9303080,9301921,9304338,9304338,9302314,9301921,9308338,9322619,9322619,9320738,9321302,9307087,9305947,9304338,9302314,9303080))

df包含以下字段:
O:旅行起点
D:旅行目的地
tripOD之间的行程数
lon.x:原点区域的经度
lat.x:原点区域的纬度
lon.y:目标区域的经度
lat.y:目标区域的纬度

目前,我可以在ggplot2包中使用geom_segment在此处通过脚本绘制下图:

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library(ggplot2)

ggplot() +
  geom_segment(data = df, aes(x = lon.x, y = lat.x, xend = lon.y, yend = lat.y, size = trip),
               color ="blue", alpha = 0.5, show.legend = TRUE,
               position = position_dodge2(width = 100)) +
 scale_size_continuous(range = c(0, 5), breaks = c(300, 600, 900, 1200),
                       limits = c(100, 1200), name ="Person trips/day (over 100 trips)") +
 theme(legend.key = element_rect(colour ="transparent", fill = alpha("black", 0))) +
 guides(size = guide_legend(override.aes = list(alpha = 1.0))) +
 geom_point(data = df, aes(x = lon.x, y = lat.x), pch = 16, size = 2.4)

enter

虚线中心线不一定会显示(我只是为了表明余额是多少而已)。还优选按方向改变颜色,例如,顺时针方向为红色,而逆时针方向为蓝色。如果可以以彩色显示方向,则不需要箭头。

enter

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O   D trip  direction    lon.x   lat.x    lon.y   lat.y
1   2  971  clock     697746.6 9312405 696929.6 9311051
2   1  300  anticlock 696929.6 9311051 697746.6 9312405
4   6  416  clock     696748.8 9308338 694906.4 9307087
4   7  621  anticlock 694906.4 9307087 696748.8 9308338

我非常感谢您的想法,以获取精心设计的图形。
另请参见下图,以获取spider network的实际用法。
enter


您可以使用trig函数来计算偏移值,然后将其插入ggplot()调用中。以下是使用上述数据集的示例。我不确定顺时针方向是什么意思,所以我输入了一个简单的哑变量。

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# make a dummy"clockwise" variable for now
df$clockwise = df$O > df$D
# angle from coordinates of stations
df$angle = atan((df$lat.y - df$lat.x)/(df$lon.y - df$lon.x))
# offsets from cos/sin of orthogonal angle
# scale the distance of the offsets by the trip size so wider bars offset more
# offset them one way if the trip is clockwise, the other way if not clockwise
df$xoffset = cos(df$angle - pi/2) * df$trip/5 * (2 * df$clockwise - 1)
df$yoffset = sin(df$angle - pi/2) * df$trip/5 * (2 * df$clockwise - 1)

ggplot() +
  geom_segment(data = df, aes(x = lon.x + xoffset, y = lat.x + yoffset, xend = lon.y + xoffset, yend = lat.y + yoffset, size = trip, color = clockwise),
               alpha = 0.5, show.legend = TRUE) +
  scale_size_continuous(range = c(0, 5), breaks = c(300, 600, 900, 1200),
                        limits = c(100, 1200), name ="Person trips/day (over 100 trips)") +
  theme(legend.key = element_rect(colour ="transparent", fill = alpha("black", 0))) +
  guides(size = guide_legend(override.aes = list(alpha = 1.0))) +
  geom_point(data = df, aes(x = lon.x, y = lat.x), pch = 16, size = 2.4) +
  coord_fixed()

Sample