Scientific Visualization

Scientific Visualization

  • Jochen Wilhelm added an answer:
    How to elegantly show multiple significant differences between groups on a bar graph?
    I have measured gene expression across eight time points, and multiple comparisons show many differences between the time points. I'd like to indicate these significant differences on my bar graph. Usually I would draw a line above the relevant bars and put * or ** above the line, but there are so many differences that the lines would become unwieldy and I feel my graph would just look too messy! Any suggestions? Should I just relegate the p values to a table?
    Jochen Wilhelm · Justus-Liebig-Universität Gießen

    I see. So you can possibly take initials or abbreviations of these interventions, like

    D Significant difference from Dolomitrin-treatment
    M Significant difference from Melomycin-treatment
    Pa Significant difference from Palatosan-treatment
    Pi Significant difference from Parsitin-treatment

    and so on.


  • Thales Sehn Korting added an answer:
    Experience with using visuals to communicate your research.
    If you are willing to publicly share your experiences, I am very interested to hear your thoughts on the use of visual communication for scientific research. Specifically, I am interested in learning:
    - your thoughts on the importance of visuals
    - the type of software you use to create charts, graphs, schematics, illustrations
    - how much time you spend creating these visuals
    - your thoughts on the value of outside expertise to help you create your visuals
    Thales Sehn Korting · National Institute for Space Research, Brazil
    in my opinion visualization is a very important topic.
    When we see some presentations in conferences, symposiums, etc., it is common to see that lots of people don't care with a good presentation, or good ways to display data.
    However, I have an youtube video that shows how to create a 3D animation of a scatterplot. Maybe it can help.

    Please take a look at:

  • Cayetano Santos added an answer:
    Any good experiences with Matlab alternatives?
    I am evaluating various Open Source tools for use in EE resarch. Few interesting ones would be Octave, SciLab, Python with Numpy and SciPy. Anyone care to share experiences, good or bad? Any other suggestions?
    Cayetano Santos · Centro Investigaciones Energéticas, Medioambientales y Tecnológicas
    Here you can find an interesting report
    "Comparative Evaluation of Matlab, Octave, Scilab and others"
  • How can I download your visualization ontology?
    I've tried to upload your visualization ontology : in Protégé 3.5, but I encountered a error. Did you check such a import?
    Bernard André Alain Chabot · PCO Innovation (Now part of Accenture)
    OK. It works fine. Thks !
  • Giovanni Pintore added an answer:
    What's a good visualization tool for a presentation?
    I am searching for a good visualization tool for presenting my research results in a conference. Do you have any fancy tools in mind?
    Giovanni Pintore · CRS4 Centro di Ricerca, Sviluppo e Studi Superiori in Sardegna
    I suggest Powerpoint too
  • Alessandro Ferrarini added an answer:
    Should scientists become more skilled at using multimedia (e.g., video, animation, interactive graphics) to describe their work?
    Such skills allow a scientist to create products that can, for example, meet the "broader impacts" criterion of funding agencies, provide supplementary online material for journal articles, generate more effective and interesting content for their courses, or be used to update professional websites with content that is more accessible, visual, and understandable by students and non-specialists.

    I've personally found such skills useful in my career and wonder how many colleagues have had a similar experience and also how many science students are currently being taught (or are learning on their own) such skills?
    Alessandro Ferrarini · Università degli studi di Parma
    i think that the best way to be exciting when presenting our research about science is to be exciting about the goals we follow and the approaches we use.

    The reason why the most of the scientific works are so boring is that their authors do not wonder the right questions, do not use the right approaches and just wnat to be ocnfirmative of previous results. and why this? because they are feared that the scientific community, that is very very conservative, could isolate them and the scientific journal could reject their works.

    But the most important scientists like Darwin, Einstein, Turing etc were thrilling in their works because they had the courage to be thrilling in their approach to science.
    So, ok multimedia presentations, but we should be interesting more for our contents than for our presentations
  • Nancy Rodriguez added an answer:
    Which free software would you recommend for high quality 3D scientific visualisation?
    I use Paraview and have experimented with Mayavi for 3D visualisation (volume rendering, surface plots etc.). I find Paraview can be lacking in quality at times and Mayavi has been difficult to use - are there any alternatives people could recommend?
    Nancy Rodriguez · Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM)
    VTK is also a widely know software for visualization


  • Sean T Osis added an answer:
    I'm working on a book and conference on visualization.
    Anyone have any interesting stories of references about things that cannot be visualized, or where visualization is inadequate, or misleading? I'm interested in the limits of visualization, because so much of the literature is about creating visualizations, which are imagined as simply good -- always potentially useful, perhaps partial, but never fundamentally misguided, misleading, inadequate, or a priori impossible.
    Sean T Osis · The University of Calgary
    Colin Ware has published some interesting work that is more cognitive in nature, but he does provide some examples of the limits of human visual abilities.

    I think Phuoc Tran Vinh has made a very good point. There is often a disconnect between the number of variables of interest, and the capability to represent them on a 2D (or maybe 3D?) visual display. My process of visualizing data often begins with asking the question: which 2-3 variables are most important? I find this question helpful in creating a visualization, but it could inherently bias whatever I come up with by leaving important items out of the result.
  • Roy Trevor Williams added an answer:
    How important is storytelling and visualization for your science?
    Two weeks ago, I attended two interesting presentations, one of a British SME (shoothill) on visualizing scientific data for the public (for example applying a technique known as Deep Zoom), the other of the Polytechnic University of Milan on using NASA world wind as a virtual globe in the area of environmental modeling. Both make me think of the role of visualizing research results depending on the target audience and about telling the right story to the right people. I have the feeling that in my filed (geospatial information science and Digital Earth), we still miss a strong commitment to such ideas and also education has to increase on related topics. Do you share this view / maybe also in other research areas? What are your experiences?
    Roy Trevor Williams · University of Portsmouth
    Hi, visualisation is essential to what we are doing, which is to try to describe the dynamics of learning in open (emergent) systems. We have developed a 3D footprint that tracks 25 variables, simultaneously, across a learning event. It could still do with some automation and interactivity, but its working for us (and for others, too).

  • Irene Baron added an answer:
    What is the future of scientific illustration?
    Hi there,

    I'd love to hear your thoughts about what you think will be the next generation scientific visualization approach. Will it be interactive? More photo-realistic? What are the skills we need to learn today to keep up in the future?

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