17 October 13

17.1 Announcements

  • Assignment 4 is posted
  • Over the next week, I’ll be going over your project proposals and giving you comments
  • Read Ch. 6 in Spatio-temporal Statistics with R

17.2 Trajectory data

  • Data from wearable gps devices
    • Strava example
## [1] "waypoints"    "routes"       "tracks"       "route_points"
## [5] "track_points"
## attr(,"driver")
## [1] "GPX"
## attr(,"nlayers")
## [1] 5
## OGR data source with driver: GPX 
## Source: "https://www.dropbox.com/s/ulbn9m3uyz6d0a5/Abilene_Running.gpx?dl=1", layer: "track_points"
## with 2095 features
## It has 27 fields
##   track_fid track_seg_id track_seg_point_id   ele                   time
## 1         0            0                  0 350.3 2018/04/07 12:00:07+00
## 2         0            0                  1 350.3 2018/04/07 12:00:08+00
## 3         0            0                  2 350.3 2018/04/07 12:00:11+00
## 4         0            0                  3 350.0 2018/04/07 12:00:15+00
## 5         0            0                  4 350.0 2018/04/07 12:00:20+00
## 6         0            0                  5 350.0 2018/04/07 12:00:24+00
##   magvar geoidheight name  cmt desc  src link1_href link1_text link1_type
## 1     NA          NA <NA> <NA> <NA> <NA>       <NA>       <NA>       <NA>
## 2     NA          NA <NA> <NA> <NA> <NA>       <NA>       <NA>       <NA>
## 3     NA          NA <NA> <NA> <NA> <NA>       <NA>       <NA>       <NA>
## 4     NA          NA <NA> <NA> <NA> <NA>       <NA>       <NA>       <NA>
## 5     NA          NA <NA> <NA> <NA> <NA>       <NA>       <NA>       <NA>
## 6     NA          NA <NA> <NA> <NA> <NA>       <NA>       <NA>       <NA>
##   link2_href link2_text link2_type  sym type  fix sat hdop vdop pdop
## 1       <NA>       <NA>       <NA> <NA> <NA> <NA>  NA   NA   NA   NA
## 2       <NA>       <NA>       <NA> <NA> <NA> <NA>  NA   NA   NA   NA
## 3       <NA>       <NA>       <NA> <NA> <NA> <NA>  NA   NA   NA   NA
## 4       <NA>       <NA>       <NA> <NA> <NA> <NA>  NA   NA   NA   NA
## 5       <NA>       <NA>       <NA> <NA> <NA> <NA>  NA   NA   NA   NA
## 6       <NA>       <NA>       <NA> <NA> <NA> <NA>  NA   NA   NA   NA
##   ageofdgpsdata dgpsid
## 1            NA     NA
## 2            NA     NA
## 3            NA     NA
## 4            NA     NA
## 5            NA     NA
## 6            NA     NA
##                                               gpxtpx_TrackPointExtension
## 1        <gpxtpx:hr>143</gpxtpx:hr>      <gpxtpx:cad>0</gpxtpx:cad>     
## 2        <gpxtpx:hr>142</gpxtpx:hr>      <gpxtpx:cad>0</gpxtpx:cad>     
## 3       <gpxtpx:hr>139</gpxtpx:hr>      <gpxtpx:cad>60</gpxtpx:cad>     
## 4       <gpxtpx:hr>136</gpxtpx:hr>      <gpxtpx:cad>60</gpxtpx:cad>     
## 5       <gpxtpx:hr>134</gpxtpx:hr>      <gpxtpx:cad>99</gpxtpx:cad>     
## 6       <gpxtpx:hr>136</gpxtpx:hr>      <gpxtpx:cad>99</gpxtpx:cad>     
##   coords.x1 coords.x2 optional
## 1 -97.21403  38.91273     TRUE
## 2 -97.21403  38.91273     TRUE
## 3 -97.21403  38.91270     TRUE
## 4 -97.21404  38.91255     TRUE
## 5 -97.21406  38.91235     TRUE
## 6 -97.21406  38.91215     TRUE

17.3 Descriptive spatio-temporal models for trajectories

  • Descriptive vs. mechanistic spatio-temporal statistical models for trajectories
  • What are the goals?
    • Prediction
    • Inference
    • Mechanistic understanding
  • Functional movement model Buderman et al. 2018