r - 将 lon/lat 矢量缩放到以米为单位的特定长度

Question

我有一些 GPS 测量线，每条线都有 3 个因测量的不确定性而弯曲的线，我想用长度为50m的线替换，这些线以测量线的中心点为中心，并且测量的大致方向点。

为此，我想从中心点（由 lon/lat 坐标给出）向某个方向移动25m ，该方向由 lon/lat 向量给出。现在的问题是，在不同的纬度，25m的度数是不一样的。我做了一些计算来获得 1m 在该位置的度数：

# Calculate the length of a 1 degree difference
earth_circumference <- 40075016.7
for(i in 1:nrow(coords)){
  coords$d_m_lon[i] <- earth_circumference/360*cos(abs(coords$c_lat[1])*pi/180)
  coords$d_m_lat[i] <- earth_circumference/360
}

# Claculate the difference in degree that 1m at the surface makes
coords$m_d_lon <- 1/coords$d_m_lon
coords$m_d_lat <- 1/coords$d_m_lat

我有一个数据框（coords），其中每行包含一条线的起点s、中心c和终点e点的坐标。我做了一个回归以获得最接近点的大致方向的线（在这里，我使用[1]作为数据的第一行；如果它有效，它显然会被循环以对所有线重复该过程）：

# Calculate average transect directions
points <- data.frame(
  x = c(coords$s_lon[1], coords$c_lon[1], coords$e_lon[1]),
  y = c(coords$s_lat[1], coords$c_lat[1], coords$e_lat[1])
)
mod <- lm(points$y ~ points$x)
a <- coefficients(mod)[1]
b <- coefficients(mod)[2]

现在我尝试按照模型给定的方向前进，并在给定的纬度上将向量缩放为25m长，但不知何故，新的起点和终点不再位于回归线上：

center <- c(coords$c_lon[1], coords$c_lat[1])
direction <- c(b-a, 1)/sqrt((b-a)^2 + 1)

start <- center + 25*c(coords$m_d_lon[1], coords$m_d_lat[1])*direction
end <- center - 25*c(coords$m_d_lon[1], coords$m_d_lat[1])*direction

有人看到错误出现在哪里或知道如何解决问题吗？我想我没有正确缩放矢量......

如果您希望数据的第一行对此进行测试：

coords <- structure(list(s_lat = -29.6032, s_lon = 29.3376, c_lat = -29.6032, 
    c_lon = 29.3379, e_lat = -29.6032, e_lon = 29.3381, d_m_lon = 96788.6617220582, 
    d_m_lat = 111319.490833333, m_d_lon = 1.03317886848321e-05, 
    m_d_lat = 8.98315283796251e-06), row.names = 1L, class = "data.frame")

标签： rvectorgeospatiallatitude-longitude

Answer 1

不确定我想要输出什么格式，但这可能会让你开始......

产生两个新列；new_s和new_e，在 lon,lat - 格式..

library( tidyverse )  
library( geosphere )

coords <- coords %>%
  #calculate bearing from center ppint to s-point
  mutate( bearing_c_to_s = pmap( list ( a = c_lon,
                                        b = c_lat,
                                        x = s_lon,
                                        y = s_lat ),
                                 ~ geosphere::bearing( c(..1, ..2), c(..3, ..4) ) 
                                 )
          ) %>%
  #calculate bearing from center ppint to s-point
  mutate( bearing_c_to_e = pmap( list ( a = c_lon,
                                        b = c_lat,
                                        x = e_lon,
                                        y = e_lat ),
                                 ~ geosphere::bearing( c(..1, ..2), c(..3, ..4) )  
                                 )
          ) %>%
  #calculate new point s coordinates, 25 meters from c using bearing c_to_s
  mutate( new_s = pmap( list ( a = c_lon,
                               b = c_lat,
                               x = bearing_c_to_s,
                               y = 25 ),
                        ~ geosphere::destPoint( c(..1, ..2), ..3, ..4 ) 
                        )
          ) %>%
  #calculate new point e coordinates, 25 meters from c using bearing c_to_e
  mutate( new_e = pmap( list ( a = c_lon,
                               b = c_lat,
                               x = bearing_c_to_e,
                               y = 25 ),
                        ~ geosphere::destPoint( c(..1, ..2), ..3, ..4 ) 
                        )
  )

在地图上输出

library( sf )
library( data.table )
setDT(coords)
coords_old <- data.table::melt(coords, measure.vars = patterns( lat = "^[a-z]_lat", lon = "^[a-z]_lon" ) )[, c("lon","lat")]
coords_old <- sf::st_as_sf( coords_old, coords = c("lon", "lat"), crs = 4326 )
coords[, c("new_s_lon", "new_s_lat") := ( as.list( unlist( new_s ) ) ) ]
coords[, c("new_e_lon", "new_e_lat") := ( as.list( unlist( new_e ) ) ) ]
coords_new <- data.table::melt(coords, measure.vars = patterns( lat = "^(c|new_[se])_lat", lon = "^(c|new_[se])_lon" ) )[, c("lon","lat")]
coords_new <- sf::st_as_sf( coords_new, coords = c("lon", "lat"), crs = 4326 )

library( leaflet )
leaflet() %>% 
  addTiles() %>% 
  addCircleMarkers( data = coords_old, color = "red" ) %>%
  addCircleMarkers( data = coords_new, color = "blue" )

旧点为红色，新点为蓝色.. 中心点保持不变....