Week 3 lectures

[rvosa]

This week will be about three-dimensional data. This might be 3D (CT) scanned objects, photogrammetry, 3D LIDAR data. Focus on 3D scanning and functional diversity.

• 11/12, I-II, Introduction to 3D data. Data capture techniques, segmentation. Scripting.
• 12/12, I-II, Lecture on scanning Nepenthes pitchers (?)
• 13/12, I-II, Lecture on Aidan's scanning
• 14/12, I-II
• 15/12, I-II, Hands-on practical 3D data (PC room)

[rvosa]

Required timetable:

1. 09.00 – 09.45
2. 10.00 – 10.45
3. 11.00 – 11.45
4. 12.00 – 12.45
   Pauze 12:45 – 13.30
5. 13.30 – 14.15
6. 14.30 – 15.15
7. 15.30 – 16.15
8. 16.30 – 17.15

[rvosa]

I think it makes sense to do a slight re-think on this week's topics: it will be more useful to deal broadly with trait and character data. This includes data obtained from 3D objects, but could also be ecological traits (e.g. Frederic's conductivity measurements) and characters (e.g. woodiness). Hence, we would likely also cover data integration from trait databases, and semantic representations.

[rvosa]

To do:

• w3d2/lecture1
• w3d4/lecture1
• w3d4/lecture2
• w3d4/lecture3
• w3d5/lecture1