Visualisation of scientific data
Because we dislike black-box tools, we like to ‘see’ what we are doing during an optimisation process and what the results look like in order to ‘understand’ the process and the outcome.
This, inevitably, involves visualising data in high dimensions (>3), which is not possible without some compromises ( = geometrical distortions).
Here are some of the tools we experimented with:
- Boschetti F., 2004, "Dimensionality reduction and visualisation of geoscienfic images via local linear embedding", Computer & Geosciences, Vol 31/6 pp 689-697
- Boschetti F., Wijns, C. and L. Moresi, 2002, "Effective exploration and visualisation of geological parameter space", 2002, Geochemistry, Geophysics, Geosystems (G Cubed), 4(10), 1086).
- Wijns, C., Poulet, T., Boschetti F., Griffiths, C., Dyt, C., : Interactive Methodology Applied to Stratigraphic Inverse Modelling, 2003, Geological Prior Information: Value and Quantification, in: A. Curtis and R. Wood (Eds.), Geological Prior Information, Geol. Soc. of London Special Publication.
- Boschetti F., 2007, Mapping the complexity of ecological models, Ecological Complexity, Vol 5/1, pp 37-47, doi:10.1016/j.ecocom.2007.09.002.
- Boschetti F., 2004, Controlling and investigating Cellular Automata behaviour via interactive inversion and visualization of search space, New Generation Computing, Special Issues on Intertactive Evolutionary Computation, Vol.23, No.2, February 2005
- Ord A., Boschetti F, and Hobbs B., 2004, "3D Imaging of Jointed Rock Masses", in Fractals in Geotechnical Engineering, D. Kolymbas (editor), Logos, Berlin