Question

我正在尝试将地理坐标（度）转换为UTM坐标（米），并不断收到“检测到非有限变换”的错误消息。你知道我怎么解决这个问题吗？这是我使用的代码：

> GPS.Points <- Gomer.Data[, c('Longitude', 'Latitude')]
> head(GPS.Points)

  Longitude  Latitude
1  23.85474 -19.52211
2  23.85531 -19.52243
3  23.85534 -19.52257
4  23.85580 -19.52346
5  23.85551 -19.52380
6  23.85513 -19.52360

> GPS.Points.Spatial.Data <- SpatialPoints(GPS.Points, 
                                         proj4string=CRS("+proj=longlat +ellps=WGS84"))
> GPS.Points.Spatial.Data[1]

SpatialPoints:
     Longitude  Latitude
[1,]  23.85474 -19.52211
Coordinate Reference System (CRS) arguments: +proj=longlat +ellps=WGS84 

> class(GPS.Points.Spatial.Data)

[1] "SpatialPoints"
attr(,"package")
[1] "sp"

> GPS.Points.UTM.Spatial.Data <- spTransform(GPS.Points.Spatial.Data,
                                           CRS("+proj=utm +south +zone=34 +ellps=WGS84"))

non finite transformation detected:
     Longitude Latitude  
Error in spTransform(GPS.Points.Spatial.Data, CRS("+proj=utm +south +zone=34 +ellps=WGS84")) : 
  failure in points 
In addition: Warning message:
In spTransform(GPS.Points.Spatial.Data, CRS("+proj=utm +south +zone=34 +ellps=WGS84")) :
  3 projected point(s) not finite

Answer 1

我会检查您要转换的数据。我无法访问您示例中的数据，因此我只使用您提供的前3个坐标点来尝试复制错误并且没有出错。我还检查了错误是否可能是由于指定的UTM区域不包括通过更改区域编号和北/南参数提供的所有点而导致的，但仍然一切正常。我可能会创建一个循环来迭代你想要转换成块的数据，看看问题出在哪里......

library(rgdal)

GPS.Points=data.frame(Longitude=c(23.85474, 23.85531, 23.85534))
GPS.Points=cbind(GPS.Points,Latitude=c(-19.52211, -19.52243, -19.52257))

GPS.Points.Spatial.Data <- SpatialPoints(GPS.Points, 
proj4string=CRS("+proj=longlat     +ellps=WGS84"))
GPS.Points.Spatial.Data[1]

class(GPS.Points.Spatial.Data)

GPS.Points.UTM.Spatial.Data <- spTransform(GPS.Points.Spatial.Data,
                          CRS("+proj=utm +south +zone=34 +ellps=WGS84"))

因为你问过，这里有一个迭代部分数据的代码。如果您收到错误，至少会知道问题来自数据的哪个位置：

library(rgdal)
GPS.Points=data.frame(Longitude=c(23.85474, 23.85531, 23.85534, 23.85474, 
23.85531, 23.85534, 23.85474, 23.85531, 23.85534))
GPS.Points=cbind(GPS.Points,Latitude=c(-19.52211, -19.52243, -19.52257, -19.52211, 
-19.52243, -19.52257, -19.52211, -19.52243, -19.52257))

n_chunks=3 #number of pieces you will break you data into
n.points=dim(GPS.Points)[1]
breaks=seq(1,n.points, by=round(n.points/n_chunks))
breaks=c(breaks, n.points) #make sure to include last points as well

i=1
for (i in 1:(length(breaks)-1)){
  cat('\n','converting points', breaks[i], "to", breaks[i+1])  
  temp.GPS.Points=GPS.Points[breaks[i]:breaks[i+1],]
  temp.GPS.Points.Spatial.Data <- SpatialPoints(temp.GPS.Points, 
proj4string=CRS("+proj=longlat +ellps=WGS84"))
  temp.GPS.Points.UTM.Spatial.Data <- spTransform(temp.GPS.Points.Spatial.Data,
                                             CRS("+proj=utm +south +zone=34 
+ellps=WGS84"))
}

rgdal R包中spTransform中的“非有限变换检测”

1 个答案: