We have unique experience in creating scientific visualizations for customers in both applied and research settings. Our work has been used in the past by large consortiums of ecological researchers, research hospitals and conservation groups, as well as research labs at academic institutions of every size.
We take pride in the idea that visualizations should be representative, and should help to deepen your relationship with your data, whether it’s data that you already have, the output of a model or data that you hope to collect. We have published research on innovative approaches to integrating biological and ecological data across research sites, between organizations and from mixed sources. This isn’t the kind of mass-market analytics you can buy off-the-shelf, but about providing meaningful, interactive engagement with data.
It’s hard to make sense of data, whether it’s “big data” or measurements taken in the field of physical objects. Visualization should make that task easier, not just by showing you the numbers in a different way, but by enabling you to bring qualitative judgments to bear in a holistic way. The measurements that define the structure of a forest canopy won’t tell you much, but being able to see the structure on-screen helps you to see the story in a new way. By amplifying certain features or combining multiple kinds of data into a visualization, stories that were entirely-hidden become readily-apparent. Scientific visualization is at its best a research process with uncertain results; a skilled visualization expert can provide the benefit of their experience and their intuition for the art of developing meaningful visualizations, and the interpretive task of making meaning out of what you see.
Our work, then, is much more about getting to know you, your problem and the audience for your visualization, than it is pushing pixels or crunching data. We get inside the heads of the people you have in the field, and help them to turn their experience and intuition into something everyone can see. Visualization is by its nature always collaborative and always interdisciplinary. We have the experience and the proven history getting to know new scientific domains and cutting-edge research that you need, as well as working with people whose specialty may not even be the science behind your data, but who knows something valuable about it.
Of course, sometimes it is about pushing pixels and crunching data, in which case we’ve got the tools and experience you need. We’re adept at taking old, complex data sets and turning them into something you can collaborate on more easily, maintain with less overhead and which we can process automatically to produce visualizations. We can create interactive visualizations which will integrate with your existing GIS application, which you can embed into your own software using VTK or which are entirely-standalone. We also can provide tools which operate in a batch mode, to help you to put together reports and manage large quantities of information. And if all you need is a single one-off visualization, we can do that, too, and if your needs grow in the future we’ll be prepared to meet them, whether it’s a Processing.js-driven visualization for your website, or a suite of tools to manage and visualize your data.
While our expertise is primarily in scientific visualization, we’re passionate about bringing these kinds of tools to bear in business and other kinds of research settings as well. We’ve produced functional handbooks that replace complicated field guides for foresters, and have analyzed network structures and even the occasional text corpus in the same way we would look at a biological or ecological system. Patterns of plagiarism, network intrusion, industrial inefficiency and endless other problems require detailed, meaningful visualizations, too — not just another pie chart or bar graph.
If you have data you think might benefit from visualization, or already know you need the services of an experienced scientific visualization consultant, contact us. We’ll help you see things differently.