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计算两类拉特隆点之间的距离

[英]Calculating distance between two classes of latlong points

I have a series of latlong coordinates in R which are divided among two individuals: 我在R中有一系列的latlong坐标,分为两个人:

name   lat         long
A      -28.63784   28.69085
A      -28.65366   28.70843
A      -28.80918   28.94223
B      -26.71335   22.80713
B      -26.75022   20.58426
B      -34.37791   20.51215

How do I calculate the distance between the coordinates of one individual to the other but not to itself? 如何计算一个人与另一个人之间的坐标,而不是与自己之间的距离? I've looked at similar questions on here but I can't see anything that will do the grouping for me. 我在这里查看过类似的问题,但看不到任何可以为我进行分组的内容。

Thanks 谢谢

First create two lon/lat data frames, one for individual A and one for B : 首先创建两个lon / lat数据帧,一个用于单个A ,另一个用于B

locationsA <- subset(d, name == "A", select = c("long", "lat"))
locationsB <- subset(d, name == "B", select = c("long", "lat"))

The rdist.earth function in the fields package can then compute the matrix of distances of all pairings: 然后,fields包中的rdist.earth函数可以计算所有配对的距离矩阵:

library(fields)
dists <- rdist.earth(locationsA, locationsB)

For the six rows you showed, for example, these distances are (in miles): 例如,对于您显示的六行,这些距离是(以英里为单位):

         [,1]     [,2]     [,3]
[1,] 384.1700 513.2758 624.3275
[2,] 385.5346 514.5599 624.4023
[3,] 402.4771 530.8293 628.1450

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