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IBM Visualization Data Explorer programs for earth and space sciences

url
ftp://ftp.tc.cornell.edu/pub/Data.Explorer/by_discipline/earth+space_science/dx_version.2.1_demos/dx2.1_earth_space_examples.tar.Z

version
2.1

abstract
These programs illustrate examples of the class of data visualizations
that can be generated by IBM's Visualization Data Explorer for
correlative data analysis in the earth and space sciences. The provided
form of the data in most of these demonstrations (a rectilinear
geographic grid) is ill-suited for the study of phenomena that occur
continuously over a nominally spherical surface (i.e., it tears the
data). Hence, cartographic techniques are introduced to suitably deform
the data via a toolkit developed for the Data Explorer. Traditionally
if a scientist is going to do such a transformation, he/she defines a
new cartesian grid in the cartographic projection coordinate system, and
then interpolates from the original rectilinear grid to the new one
prior to any realization. Given the curvilinear nature of the
transformation, non-linear interpolation techniques are typically
required to make the transformation of acceptable quality. In addition
to typically being computationally expensive, such interpolation may
make it difficult to preserve the data fidelity. The Data Explorer
dispenses with such steps since it directly supports operations on
deformed grids. In this case, the grid structure itself is transformed
without affecting the data! Each of the demonstrations shows a
different example of such techniques with disparate data.

description
ftp://ftp.tc.cornell.edu/pub/Data.Explorer/by_discipline/earth+space_science/README

contact
Lloyd Treinish / ydt@watson.ibm.com

keywords
data visualization

application
earth and space sciences


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