Large-scale comparative visualisation and analysis of sets of multidimensional data
Copyright (c) 2015, Dany Vohl, David G. Barnes, Christopher J. Fluke, Govinda Poudel, Nellie Georgiou-Karistianis, Amr H. Hassan, Yuri Benovitski, Tsz Ho Wong, Owen Kaluza, Toan D. Nguyen, C. Paul Bonnington. All rights reserved.
Authors: Dany Vohl - dvohl (at) swin.edu.au, David G. Barnes - david.g.barnes (at) monash.edu, Chris J. Fluke - cfluke (at) swin.edu.au, Yuri Benovitski - ybenovitski (at) bionicsinstitute.org, Owen Kaluza - owen.kaluza ( at ) monash.edu, Toan D. Nguyen toan.nguyen (at) monash.edu.
encube is licensed under the GNU General Public License (version 3) as published by the Free Software Foundation. Find more at http://www.gnu.org/licenses/.
S2PLOT : https://github.com/mivp/s2plot
S2VOLSURF: https://github.com/mivp/s2volsurf
CFITSIO (for astronomical data) : http://heasarc.gsfc.nasa.gov/fitsio/fitsio.html
See build setup examples in the scripts repository: typical S2PLOT builds. See configuration files example in the config repository.
e.g. "app_type": "astro_fits" or "brain_xrw"
build s2hd (encube-PR): scripts/build-VERSION.
start encube_PR via encube_M python encube_m.py config/config_file.json 0
start interactive unit server (webserver), which will create an instance of encube_M and connect to encube_PR python webserver.py config/config_file.json
Open your browser and go to http://localhost:8000
Tractography shader for IMAGE-HD currently supported on Linux only.
We would appreciate it if research outcomes using encube would provide the following acknowledgement:
"Visual analytics of multidimensional data was conducted with encube."
and a reference to
Dany Vohl, David G. Barnes, Christopher J. Fluke, Govinda Poudel, Nellie Georgiou-Karistianis, Amr H. Hassan, Yuri Benovitski, Tsz Ho Wong, Owen L Kaluza, Toan D. Nguyen, C. Paul Bonnington. (2016) Large-scale comparative visualisation of sets of multidimensional data. PeerJ Computer Science 2:e88 https://doi.org/10.7717/peerj-cs.88
This work was enabled and supported by the Monash Immersive Visualisation Platform http://monash.edu/mivp.