OpenSpace is an open source interactive data visualization software designed to visualize the entire known universe and portray our ongoing efforts to investigate the cosmos covering all possible scales. There is documentation is available for Developers, Builders, and Users of OpenSpace down below, as well as instructional videos and examples on our YouTube channel.
Regarding any issues, whether it is building the application, creating new content, presenting with it, or suggesting changes, you are very welcome on our official Slack support channel to which you can freely sign-up.
"Developers" are those working on the OpenSpace source code to add new and improve functionality, improve the interface, build and package binaries, and fix bugs.
- Getting Started Guide: Compiling OpenSpace
- Deploy to a Windows Machine
- Compiling GDAL
- OpenSpace with OpenVR support
"Builders" use OpenSpace to create new Scenes, new Missions, and new content, but they don't have to work on the underlying code.
- Working with WMS Server/Data for OpenSpace
- Asset structure
- Socket API
- Path tokens
"Users" use OpenSpace to explore, view, navigate, and display. They don't have to write code or create content, and can "fly" OpenSpace.
- Getting Started Guide: Using OpenSpace
- Menu system
- Keyboard Commands
- Configuration File
- Lua Scripting
- Using the commandline
- SGCT Statistics Graph
Published theses related to OpenSpace
|2013||Martin Törnros||CCMC||Interactive Visualization of Space Weather Data||link|
|2014||Victor Sand||CCMC||Dynamic Visualization of Space Weather Data||link|
|2014||Hans-Christian Helltegen||CCMC||Visualizing Space Weather: Acquiring and Rendering Data of Earth's Magnetosphere|
|2015||Anton Arbring||AMNH||Public Dissemination of Deep Space Missions through Immersive Visualization||link|
|2015||Emil Axelsson & Tomas Forsyth Rosin||CCMC||Spatio-temporal Multi-modal Visualization of Volumetric Simulation and In Situ Satellite Data||link|
|2016||Michael Nilsson & Sebastian Piwell||CCMC||Bridging the Gap: Providing Public Science Dissemination through Expert Tools||link|
|2016||Kalle Bladin & Erik Broberg||AMNH||Design and Implementation of an Out-of-Core Globe Rendering System Using Multiple Map Services||link|
|2017||Jonas Strandstedt||CCMC||Multi-Volume Rendering in OpenSpace Using A-Buffers for Space Weather Visualizations||link|
|2017||Klas Eskilson||NYU||Creating User Interfaces Using Web-based Technologies to Support Rapid Prototyping in a Desktop Astrovisualization Software||link|
|2017||Jonathan Bosson||SCI||Multi-Touch Interfaces for Public Exploration and Navigation in Astronomical Visualizations||link|
|2017||Rickard Lindstedt & Michael Sjöström||AMNH||Interactive In-Situ Visualization of Mars Science Laboratory Data|
|2017||Oskar Carlbaum & Michael Novén||CCMC||Real-Time Magnetohydrodynamic Space Weather Visualization||link|
|2018||Michal Marcinkowski||AMNH||Contextualization of Autonomous Spaceflight Operations for deep space planetary encounters||link|
|2018||Alexander Bock||LiU||Tailoring visualization applications for tasks and users||link|
|2018||Adam Alsegård||LiU||Interactive out-of-core rendering and filtering of one billion stars measured by the ESA Gaia mission||link|
|2018||Kristin Bäck & Caroline Gard||AMNH||Robotic Spacecraft Visualization of MSL Curiosity using Telemetry Data|
|2018||Hanna Johansson & Sofie Khullar||SCI||Graphical User Interfaces for Multi-Touch Displays supporting Public Exploration and Guided Storytelling of Astronomical Visualizations|
- Page names in the format
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