我有一个带有"lat"、"lon"值的数据帧,例如:
index lat lon
------- ----------- -----------
1 51.513393 -0.115650
2 51.513428 -0.115461
3 51.513428 -0.115462
4 51.513428 -0.115465
5 51.513428 -0.115470
6 51.513432 -0.115462
7 51.513432 -0.115467
8 51.513435 -0.115471
9 51.513439 -0.115468
10 51.513439 -0.115469
我正试图获得这些点的中心:
center_point <- centroid(df)
我遇到了"geosphere"包出现错误的问题:
Error in .pointsToMatrix(x, poly = TRUE) : longitude > 360
In addition: Warning message:
In .pointsToMatrix(x, poly = TRUE) :
Suspect column names (longitude and latitude reversed?)
通过阅读这篇stackoverflow文章,问题可能与我的值格式化为字符串而不是数字/双精度有关。
然后,我将这些列值转换为数字:
df$lon <- as.numeric(df$lon)
df$lat <- as.numeric(df$lat)
然而,当我现在看的时候,转换似乎把我的数据搞砸了;它显示:
index lat lon
------- ----- -----
1 1 35
2 2 8
3 2 9
4 2 11
5 2 15
6 3 9
7 3 12
8 4 16
9 5 13
10 5 14
有人知道我该如何处理这个问题吗?
在djhurio的帮助下解决了这个问题:
必须先将值转换为:
as.character((
以下代码现在适用于我的应用程序:
df$lon <- as.numeric(as.character(df$lon))
df$lat <- as.numeric(as.character(df$lat))
center_point <- centroid(df)
require(sp)
require(rgeos)
x = 'lat,lon
51.513393,-0.115650
51.513428,-0.115461
51.513428,-0.115462
51.513428,-0.115465
51.513428,-0.115470
51.513432,-0.115462
51.513432,-0.115467
51.513435,-0.115471
51.513439,-0.115468
51.513439,-0.115469'
x = read.table(text = x, sep = ',', header = TRUE, colClasses= rep('numeric', 2) )
sx = SpatialPoints(coords = x[, c('lon','lat')], proj4string = CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs") )
gCentroid(sx)
SpatialPoints:
x y
1 -0.1154845 51.51343
Coordinate Reference System (CRS) arguments: +proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs +towgs84=0,0,0