The sf package delivers a standardized way to encode spatial vector data, the so called Simple Features (SF). It binds to GDAL for reading and writing data, to GEOS for geometrical operations, and to Proj.4 for projection conversions and datum transformations. Therefore the eRTG3D package comes with some wrapper functions to convert the generated tracks to simple features. The resulting sf, data.frame objects enable access to the functionality of the sf package, which also includes an easy way to access spatial databases (PostGIS).
To convert tracks to a an object of type sf, data.frame use the track2sf.3d() function, which can take data.frames, matrices and move objects (containing one track!) as input. In case of data.frames and matrices, it is important that the coordinates are stored in the first three rows.
niclas <- track2sf.3d(niclas, CRS = 2056)
is.sf.3d(niclas)
#> [1] TRUE
head(niclas, 3)
#> Simple feature collection with 3 features and 5 fields
#> Geometry type: POINT
#> Dimension: XYZ
#> Bounding box: xmin: 2556476 ymin: 1188336 xmax: 2560477 ymax: 1189861
#> z_range: zmin: 1283.736 zmax: 1369.713
#> Projected CRS: CH1903+ / LV95
#> a g t l d
#> 1 0.3914766 1.557032 NA NA NA
#> 2 0.4313395 1.537826 0.03986289 -0.01920514 2300.818
#> 3 0.2866134 1.565712 -0.14472610 0.02788554 1993.003
#> geometry
#> 1 POINT Z (2556476 1188336 12...
#> 2 POINT Z (2558565 1189297 13...
#> 3 POINT Z (2560477 1189861 13...To test if a track is of type sf, data.frame use the is.sf() function, and to convert a sf, data.frame back to a track data.frame use sf2df.3d().