Error in .pointsToMatrix(p1) : longitude > 360 after projecting data

[StephPeriquet]

Hi there,

I am trying to work with my own dataset and I have issue with move_align() after projecting my data using spTransform. My initial data in LatLong format and I would like to plot it in UTM. Here is the code I used:
move_data <- df2move(d1, x="long",y="lat", proj="+init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0", time = "Local", track_id="name")
move_data <- sp::spTransform(move_data, crs("+proj=utm +zone=33 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 "))
move_data1 <- align_move(move_data, res = 60, digit = "mean", unit = "mins")
Which result in the following error:
Error in .pointsToMatrix(p1) : longitude > 360

If I used the already projected data
move_data <- df2move(d1, x="x",y="y", proj="+proj=utm +zone=33 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 ", time = "Local", track_id="name")
move_data1 <- align_move(move_data, res = 60, digit = "mean", unit = "mins")
It results in the same error...
I did check and all the long, lat, x and y columns are numeric not factors.

What am I getting wrong?
Attached is a sample of my data.

Thanks in advance for the help!
Stephanie
test_file.txt

[16EAGLE]

Hi, the default interpolation method used by align_move is greatcircle which cannot be used with tracks not projected as lat/lon. Thus, if you want to use greatcricle, you could first align your data and then reproject them:

library(moveVis)
library(move)

df <- read.csv("dev/user_data/test_file.txt", sep = ";", stringsAsFactors = F)
df$Local <- as.POSIXct(df$Local)

move_data <- df2move(df, x = "long", y = "lat", proj = crs("+init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"),
                     time = "Local", track_id= "name")
move_data <- align_move(move_data, res = 60, digit = "mean", unit = "mins")
move_data <- sp::spTransform(move_data, crs("+proj=utm +zone=33 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 "))

To stick to the order you applied, you need to switch spaceMethod to euclidean:

library(moveVis)
library(move)

df <- read.csv("dev/user_data/test_file.txt", sep = ";", stringsAsFactors = F)
df$Local <- as.POSIXct(df$Local)

move_data <- df2move(df, x = "long", y = "lat", proj = crs("+init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"),
                     time = "Local", track_id= "name")

move_data <- sp::spTransform(move_data, crs("+proj=utm +zone=33 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 "))
move_data <- align_move(move_data, res = 60, digit = "mean", unit = "mins",
                         spaceMethod = "euclidean")

I hope this helps. I will replace the current error message with something pointing the user towards changing spaceMethod.

[StephPeriquet]

Hi there, Ahaha thx that makes sense, haven't thought about that! Thanks a lot for the speedy reply! Best, Stephanie

…

On 12/03/2019 12:59, J. Schwalb-Willmann wrote: Hi, the default interpolation method used by |align_move| is |greatcircle| which cannot be used with tracks not projected as lat/lon. Thus, if you want to use |greatcricle|, you could first align your data and then reproject them: library(moveVis) library(move) df <- read.csv("dev/user_data/test_file.txt",sep = ";",stringsAsFactors = F) df$Local <- as.POSIXct(df$Local) move_data <- df2move(df,x = "long",y = "lat",proj = crs("+init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"), time = "Local",track_id= "name") move_data <- align_move(move_data,res = 60,digit = "mean",unit = "mins") move_data <- sp::spTransform(move_data, crs("+proj=utm +zone=33 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 ")) To stick to the order you applied, you need to switch |spaceMethod| to |euclidean|: library(moveVis) library(move) df <- read.csv("dev/user_data/test_file.txt",sep = ";",stringsAsFactors = F) df$Local <- as.POSIXct(df$Local) move_data <- df2move(df,x = "long",y = "lat",proj = crs("+init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"), time = "Local",track_id= "name") move_data <- sp::spTransform(move_data, crs("+proj=utm +zone=33 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 ")) move_data <- align_move(move_data,res = 60,digit = "mean",unit = "mins", spaceMethod = "euclidean") I hope this helps. I will replace the current error message with something pointing the user towards changing |spaceMethod|. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#42 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AX-BebpyWXsNB3VzXYnlvfSw1PA8Lk7iks5vV4ikgaJpZM4bqZqD>.

[MatteoSebastianelli]

Hi all,
I'm also working with my own dataset (in LongLat format) and I'm getting a similar error message when trying to align my movement data with align_move(). My code is as following:

R.move<-move(as.numeric(R.ready$Longitude.decimal),as.numeric(R.ready$Latitude.decimal),
time = R.ready$Timestamp.1,
proj="+init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0")
unique(timestamps(R.move))
timeLag(R.move,unit="mins")
m<-align_move(R.move, res = 1200, unit = "mins")

When I run this i get the following Error message:

Error in .pointsToMatrix(p1) : latitude > 90
In addition: Warning message:
In .pointsToMatrix(p1) : longitude > 180

Cannot figure out what is wrong here. Hope you can help me. See the data attached.
Many thanks in advance!
Matteo

Move_sample.txt

[16EAGLE]

please see #69