Tom%20Rink

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Tom Rink Tom Whittaker Paolo Antonelli Kevin
Baggett
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Overview
Local
DODS
Hydra
Remote
NetCDF, HDF
NetCDF, HDF
VisAD - Jython
VisAD
Java3D
Java
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VisAD

• Application Programming Interface (API) written
  in pure Java.
• Support for remote collaboration.
• Abstractions for
• Data
• Displays
• Computations
• User Interface

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VisAD Data

• General mathematical representation of data can
  model most any numerical data set.
• Can adapt data to this model from wide range of
  file storage formats NetCDF, HDF-5, FITS, McIDAS
  and Vis5D.
• Finite samples of continuous functions.
• Supports mathematical operations and resampling
  of data.
• Built-in Metadata
• Data schema (MathType)
• Physical Units
• Coordinate System transformations
• Sampling topology
• Error Estimates

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• 2D or 3D interactive displays which support user
  direct manipulation user can manually change
  display objects with changes propagated back to
  the linked data object.
• VisAD data and display class hierarchy includes
  both local and remote implentations so local and
  remote data look the same to applications. This
  is accomplished using Java's RMI (Remote Method
  Invocation) interface in VisAD core.

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JythonA pure Java implentation of
Pythonhttp//www.jython.org

• Scripting environment (less code)
• Like Python, has easy to read syntax.
• Seamless access to Java classes (easy use of
  existing Java libraries in Jython modules and
  classes).
• No compile phase Dynamic typing/loading.
  Generally leads to less typing and decreased
  overall development time.
• This leads into

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VisAD JythonMarriage between the VisAD API
and Jython

• Collection of Jython modules for the simplified
  creation of VisAD data and interactive displays.
• Jython is object-oriented so more complex
  applications, like Hydra, can also be developed
  in this environment.

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Hydra's To Do list

• Add support for Geostationary instruments, eg.
  GOES, MSG, including animation over Time.
• Integrate multiple instruments into a single
  display, eg. overlay satellite swath with a
  flight track and toggle/difference between them.
• Remote collaboration work together on a dataset
  over the network.
• Add more tools, image statistics etc.
• Performance tuning.