Dina Research School
Workshop: Spatial Interpolation and Kriging
Koldkærgård Landboskole,
May 23-24 2006
Preliminary programme
Tuesday May 23
- 11:00
- Arrival and accommodation
- 12:00
- Lunch
- 13:00
- Introduction and presentation of participants
Anders Ringgaard Kristensen, The Dina Research School
- 13:15
- Theory session I: Approximation of functions in several variables.
Hans Bruun Nielsen, Informatics and Mathematical Modeling, DTU
The 'Curse of dimensionality' in connection with polynomials and
multi-splines. The use of radial basis functions ( RBF).
- 14.00
- Computer exercises followed by coffee break
- 15:15
- Theory session II: Computational aspects.
Hans Bruun Nielsen
Focus on Kriging and RBF. Introduction to the Matlab toolbox DACE
- 16:00
- Computer exercises using DACE followed by coffee break
- 17.15
- Theory session III: Smoothing Triangle Meshes and Variational Subdivision
Jakob Andreas Bærentsen, Informatics and Mathematical Modeling,
DTU
In the first half of this talk, techniques for removing noise from triangle
meshes are discussed. By iteratively applying mesh smoothing it turns out
that we can obtain an energy minimizing surface which, in some cases, is the
same surface we would have obtained with thin plate splines. This leads to a
technique called variational subdivision which is the topic of the second
half of the talk.
- 18:00
- Dinner
- 19:00
- Case study I: New Danish Soil Map - from Choropleth Map to Raster Texture Layers
Mette Balslev Grove og Mogens Humlekrog Grove, Danish Institute of
Agricultural Sciences
- 19:45
- Computer exercises based on DACE
- 21:45
- Coffee and sandwich
Wednesday May 24
- 7:45
- Breakfast
- 8:30
- Discussion of computer exercises
- 8:45
- Theory session IV: Measuring Curvature in Triangle Meshes.
Jakob Andreas Bærentsen
Triangle meshes are piecewise planar, and at any point of a triangle mesh the
curvature is either zero or undefined. However, curvature integrated over
parts of a triangle mesh is well-defined, and in this talk methods for
computing (integral) curvature from triangle meshes are presented.
As an application, we discuss the optimization of triangle meshes by the
following procedure: Keep vertices fixed and change the vertex connectivity
to minimize some curvature measure.
- 9:30
- Coffee break
- 10:00
- Computer exercises
- 11:00
- Case study II: Spatial interpolation and yield mapping (tentative title)
Frede Aakmann Tøgersen, Danish Institute of Agricultural
Sciences
- 11:45
- Discussion and closing
Anders Ringgaard Kristensen, The Dina Research School
- 12:00
- Lunch and departure
Author: phd@dina.kvl.dk. Updated:
11 april 2006