Scientific Visualisation

Scientific visualisation is an interdisciplinary branch of science primarily concerned with the visualization of three-dimensional phenomena (architectural, meteorological, medical, biological, etc.), where the emphasis is on realistic renderings of volumes, surfaces, illumination sources, and so forth, perhaps with a dynamic (time) component.

General Training Material

Large Data Visualization

Description: This module provides an introduction to concepts of visualization with a focus on parallel computing techniques to handle large datasets.

Training Material: To view the material please click on the link below:

Large Data Visualization

Credit: Cornell Virtual Workshop

(to open their website click here)

Paraview

Paraview Description: Paraview is a highly capable visualization application for computational fluid dynamics and other subjects. It is open source and can run in parallel. This module includes a lab which covers visualization of a sample dataset both on a local computer and on TACC resources.

Paraview Training Material: To view the material please click on the link below:

Paraview

Credit: Cornell Virtual Workshop

(to open their website click here)

D3.js for Data Visualization

Description of D3.js: is a data visualization library by Mike Bostock, who is also the primary creator of Protovis, which D3 is designed to replace.

Training Material for D3.js: The following two links provide access to tutorials

Official Tutorials

D3 for mere mortals (Luke Franci).

Climate

Visualization in Climate

NCAR graphics

NCAR Graphics Description: NCAR Graphics is a Fortran and C based software package for scientific visualization. NCAR Graphics is comprised of:

a library containing over two dozen Fortran/C utilities for drawing contours, maps, vectors, streamlines, weather maps, surfaces, histograms, X/Y plots, annotations, and more
an ANSI/ISO standard version of GKS, with both C and FORTRAN callable entries
a math library containing a collection of C and Fortran interpolators and approximators for one-dimensional, two-dimensional, and three-dimensional data
applications for displaying, editing, and manipulating graphical output
map databases
hundreds of FORTRAN and C examples
demo programs
compilation scripts

NCAR Training Material: The following link provides access to NCAR graphics user page: NCAR graphics user page

Credit: NCL

(to open their website click here)

NCAR Command Language: NCL

NCL Description: NCL Command Language is a free interpreted language designed specifically for scientific data processing and visualization. NCL has robust file input and output. It can read and write netCDF-3, netCDF-4 classic, netCDF-4, HDF4, binary, and ASCII data. It can read HDF-EOS2, HDF-EOS5, GRIB1, GRIB2, and OGR files (shapefiles, MapInfo, GMT, Tiger). It can be built as an OPeNDAP client.

NCL Training Material: The following link provides access to NCL user page: NCL user page

Credit: NCL

(to open their website click here)

VisTrails

VisTrails Description: VisTrails is an open-source scientific workflow and provenance management system that supports data exploration and visualization.

VisTrails Training Material: The following link provides access to the VisTrails Wiki: VisTrails Wiki

The following link provides access to an example of VisTrails Training Workflow: VisTrails Training Workflow

Credit: The Cyprus Institute

Digital Cultural Heritage

Visualization in Digital Cultural Heritage

Landscape Services

Description: A set of responsive web services that include large terrain datasets generation, 3D landscape composing and 3D model processing, leveraging on powerful open-source frameworks and toolkits such as GDAL, OSGjs, OpenSceneGraph and ownCloud.

Training Material: The following link provides a link to the Landscape Services: http://landscape.ariadne-infrastructure.eu

Ancient Landscape Reconstruction

Description: Ancient Landscape Reconstruction provides reconstruction of the archaeological and ancient landscape, through Virtual Reality and Computer Graphics techniques.

Training Material: The following training material provides a presentation on Reconstructing of Ancient Landscape:

http://linksceem.cyi.ac.cy/ls2/images/stories/pescarin-landscape-reconstruction.pdf

Introduction to Stereoscopy for Archaeology

Description: Stereoscopy, or stereoscopic imagery; the technique for recording three-dimensional visual information by using the characteristics of human binocular vision to re-create the illusion of depth of an image as of the real world. The technique relies on presenting two slightly different images on to the retinas of our eyes, which the brain automatically fuses into a single view or a spatial representation using the visual cortex located at the back of our brain. Visual cortex can be characterized as the visual encoding/decoding engine of the human’s physiology.

Training Material: Below you can find a link to an introduction to Stereoscopy for Archaeology:

Introduction to Stereoscopy for Archaeology

Credit: LinkSCEEM

RTI Imaging, PTM Dome and 360 degree imaging of Cylindrical Surfaces

Description of RTI Technology: Using Reflection Transformation Imaging (RTI) technology an image is created by taking many digital photographs, each from a different light angle inside a dome. The images are then combined using special software, the result being an image in which one can view an object illuminated from any light angle. One can also use the data about how the object reflects light to perform mathematical “transformations” on the combined images.

Training Material: The link below provides a presentation on RTI Imaging, PTM Dome and 360 degree imaging of Cylindrical Surfaces:

RTI Imaging, PTM Dome and 360 degree imaging of Cylindrical Surfaces

Credit: LinkSCEEM

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