Fatal Error from frame_spatial

[smerker]

I am trying animate a single individual's movements over some hybrid or satellite data. Occasionally I run into a fatal error that crashes R. I thought it was memory related because I was creating a move object with large number of features. Anytime I had a <200 features it seems to work. I've since tried adjusting the resolution to 1 day, resulting in 14 features and still get crashes. There are no warnings or clear reasons why this crashes R, but it is highly annoying. Again I thought it was memory related but I've tried scrubbing the memory and running things pretty bare bones. I also have a large amount of RAM available so it seems more likely to be some other problem.

head(Hartpond.nodup)
    Latitude Longitude Altitude Speed            DateTime trackID
102 41.78707 -73.30113      283   0.3 2022-04-23 10:07:14       1
107 41.78646 -73.30147      420  0.41 2022-04-23 11:07:44       1
128 41.78634 -73.30259      458  0.08 2022-04-23 12:07:55       1
149 41.78674 -73.30194      308  0.13 2022-04-23 13:08:06       1
170 41.78659 -73.30194      419  0.26 2022-04-23 14:08:16       1
191 41.78613 -73.30147      453  0.03 2022-04-23 15:08:28       1

Hartpond.move<-df2move(Hartpond.nodup[1:200, c(2:5,21,22)],
                       proj = "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 +proj=longlat", 
                       x = "Longitude", y = "Latitude", time = "DateTime", track_id = "trackID")

Hartpond.move

class       : Move 
features    : 200 
extent      : -73.30486, -73.29762, 41.78171, 41.78829  (xmin, xmax, ymin, ymax)
crs         : +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 +proj=longlat 
variables   : 3
names       :         x,        y,       time 
min values  : -73.30486, 41.78171, 1650722834 
max values  : -73.29762, 41.78829, 1651938652 
timestamps  : 2022-04-23 10:07:14 ... 2022-05-07 11:50:52 Time difference of 14 days  (start ... end, duration) 
sensors     : unknown 
indiv. data :  
indiv. value:  
date created: 2023-09-27 22:27:11 

m <- align_move(Hartpond.move, res = 30, unit = "mins")
m

class       : MoveStack 
features    : 675 
extent      : -73.30485, -73.29787, 41.78179, 41.78776  (xmin, xmax, ymin, ymax)
crs         : +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 +proj=longlat 
variables   : 3
names       :                 x,                y,       time 
min values  : -73.3048487571596, 41.7817912528116, 1650724620 
max values  : -73.2978741303825, 41.7877643022963, 1651937820 
timestamps  : 2022-04-23 10:37:00 ... 2022-05-07 11:37:00 Time difference of 14 days  (start ... end, duration) 
sensors     : interpolateTime 
indiv. data :  
individuals : X1 
date created: 2023-09-27 22:27:11

**Fails here. This primarily seems to work when there are very few features, but it's not always the case.**

frames <- frames_spatial(m, map_service = "mapbox", map_type = "hybrid", map_token = ambi.token, ext=Hartpond.ext, path_colours = c("darkorange"),
                         alpha = .95) %>% 
  add_labels(x = "Longitude", y = "Latitude") %>% # add some customizations, such as axis labels
  add_northarrow() %>% 
  add_scalebar() %>% 
  add_timestamps(type = "label") %>% 
  add_progress()

Just found out this still fails if I use maps saved to a directory. It has to be possible to plot hundreds of features yes?

Let me know if you need other info.

[vparmain]

Hello, It seems that I encounter the same type of crash. I use R4.3.0 , Rstudio and move Vis 0.10.6

Data: anim.zip

Code for reproductible example: library(moveVis) anim <- readRDS("./anim.rds")

anim<- df2move(df=anim, proj= "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 +proj=longlat", x="x_", y="y_", time= "GMTTime", track_id="trackId")

anim <- align_move(anim, res = 2, unit = "mins")

frames <- frames_spatial(anim,service="osm",map_type="streets", path_fade = T, trace_show = T)%>% add_northarrow(height = 0.05, position = "upperright")%>% add_progress(size = 3)%>% add_timestamps(type = "label")%>% add_scalebar(colour = "white")

Crashes here without any comment while data("move_data") from your package is like a charm. Many thanks for your help.

[JoChambon]

Hi, reinstalling the package from github with devtools rather than install.packages() solved this issue. devtools::install_github("16EAGLE/moveVis")

[ErikaPeirce-USDA]

Using R version 4.3.2 and downloaded version from devtools::install_github("16EAGLE/moveVis")

I am getting similar issues when running frame_spatial when I use map_service:

frames <- frames_spatial(data_align, path_colours = c("red","blue","darkgreen","coral","blueviolet","orange"),
                         map_service = "mapbox", map_type = "streets",
                         map_token = token, 
                         equidistant = FALSE, path_fade = F, trace_show = T, 
                         tail_size = 0.8)

Versus when I use osm I do not get the fatal error message.

frames <- frames_spatial(data_align, path_colours = c("red","blue","darkgreen","coral","blueviolet","orange"),
                         map_service = "osm", map_type = "streets",
                         equidistant = FALSE, path_fade = F, trace_show = T, 
                         tail_size = 0.8)

What could be going on to cause this? I'd like to be able to continue using mapbox.

Thanks!

[smerker]

The proposed solution of reinstalling via devtools doesn't work. Still receive a fatal error with no explanation of what went wrong.

[smerker]

I can only get this to work if the number of features is very small. Which doesn't make sense because the data provided has quite a few features.

[Purple533]

I encountered the same issue. I tried with both install.package() and reintalled with devtools, and switched between different map_services. None seemed to be working. I can only get the frames_spatial running if using 3 or fewer animals movement data. Every time I added the 4th one, R faced a fatal error and crashed itself. And I only have around 200 points for each animal.

Any help is appreciated!!