我正在尝试使用 adehabitatHR 使用遥测数据来估计家庭范围大小。每次我创建一个 SpatialPointsDataFrame 时，它都会对我的 UTM 位置的 y 坐标进行四舍五入。我尝试将 UTM 保存为整数、数字、在导入 .csv 之前删除 NA、在导入 .csv 后删除 NA、作为 .txt 文件导入（以防 excel 中存在错误）等。
这是控制台输出：
> data<-read.csv("C:/Workspace/URAM/Data/HomeRange/NEW_TelemetryLocs_AllBears_asof_9Sept19_noNAs.csv", header=T)
>
> summary(data)
Alias Order Sex AnimalID X Y
Brandy : 2839 Min. : 1 F:15546 102-16 : 2839 Min. :397286 Min. :5236180
Bernie : 2674 1st Qu.: 306 M:11650 06-16 : 2674 1st Qu.:406966 1st Qu.:5251887
Eve : 2646 Median : 635 01-18 : 2646 Median :413166 Median :5258742
Deedee : 2606 Mean :1239 17-17 : 2606 Mean :412579 Mean :5257164
Buddha : 2346 3rd Qu.:2018 04-17 : 2346 3rd Qu.:418419 3rd Qu.:5262669
Bailey : 1192 Max. :5583 12-17 : 1192 Max. :432690 Max. :5291985
(Other):12893 (Other):12893
> head(data)
Alias Order Sex AnimalID X Y
1 Calliope 128 F 19-22 432690.3 5262636
2 Calliope 191 F 19-22 432522.3 5262409
3 Calliope 127 F 19-22 432491.0 5263274
4 Calliope 189 F 19-22 432466.3 5262413
5 Calliope 190 F 19-22 432376.1 5262121
6 Calliope 202 F 19-22 432262.3 5264390
> dim(data)
[1] 27196 6
> str(data)
'data.frame': 27196 obs. of 6 variables:
$ Alias : Factor w/ 26 levels "Artemis","Bailey",..: 9 9 9 9 9 9 9 9 9 9 ...
$ Order : int 128 191 127 189 190 202 201 188 129 422 ...
$ Sex : Factor w/ 2 levels "F","M": 1 1 1 1 1 1 1 1 1 1 ...
$ AnimalID: Factor w/ 26 levels "01-18","01-19",..: 26 26 26 26 26 26 26 26 26 26 ...
$ X : num 432690 432522 432491 432466 432376 ...
$ Y : num 5262636 5262409 5263274 5262413 5262121 ...
> test.sp<-SpatialPointsDataFrame(data[,5:6],data = data, coords.nrs = 5:6,
+ match.ID = TRUE,
+ proj4string=CRS("+proj=utm +zone=10+datum=NAD83+ellps=GRS80"))
> head(test.sp)
coordinates Alias Order Sex AnimalID X Y
1 (432690, 5262640) Calliope 128 F 19-22 432690.3 5262636
2 (432522, 5262410) Calliope 191 F 19-22 432522.3 5262409
3 (432491, 5263270) Calliope 127 F 19-22 432491.0 5263274
4 (432466, 5262410) Calliope 189 F 19-22 432466.3 5262413
5 (432376, 5262120) Calliope 190 F 19-22 432376.1 5262121
6 (432262, 5264390) Calliope 202 F 19-22 432262.3 5264390
Coordinate Reference System (CRS) arguments: +proj=utm +zone=10+datum=NAD83+ellps=GRS80
>
如果我在 R 中手动输入 6 行数据，它似乎可以工作：
> Alias<-c("Brandy","Brandy","Brandy","Brandy","Brandy","Brandy")
> Sex<-c("F","F","F","F","F","F")
> Order<-c(5,6,7,8,9,10)
> X<-c(409483,409481,409442,409438,409443,409576)
> Y<-c(5263356,5263356,5263335,5263340,5263342,5263685)
> test2<-data.frame(Alias,Sex,Order,X,Y)
> head(test2)
Alias Sex Order X Y
1 Brandy F 5 409483 5263356
2 Brandy F 6 409481 5263356
3 Brandy F 7 409442 5263335
4 Brandy F 8 409438 5263340
5 Brandy F 9 409443 5263342
6 Brandy F 10 409576 5263685
> test2.sp<-SpatialPointsDataFrame(test2[,4:5],data = test2, coords.nrs = 4:5,
+ match.ID = TRUE,
+ proj4string=CRS("+proj=utm +zone=10+datum=NAD83+ellps=GRS80"))
>
> test2.sp
coordinates Alias Sex Order X Y
1 (409483, 5263356) Brandy F 5 409483 5263356
2 (409481, 5263356) Brandy F 6 409481 5263356
3 (409442, 5263335) Brandy F 7 409442 5263335
4 (409438, 5263340) Brandy F 8 409438 5263340
5 (409443, 5263342) Brandy F 9 409443 5263342
6 (409576, 5263685) Brandy F 10 409576 5263685
但是，如果我使用坐标（）命令创建 SpatialPointsDataFrame，使用手动输入的数据，结果是一个四舍五入的 Y 坐标：
> coordinates(test2)<-c("X","Y")
> head(test2)
coordinates Alias Sex Order
1 (409483, 5263360) Brandy F 5
2 (409481, 5263360) Brandy F 6
3 (409442, 5263340) Brandy F 7
4 (409438, 5263340) Brandy F 8
5 (409443, 5263340) Brandy F 9
6 (409576, 5263680) Brandy F 10
Coordinate Reference System (CRS) arguments: NA
任何帮助或建议将不胜感激。