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 IBM Visualization Data Explorer programs for earth and space sciences <author> <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><url>ftp://ftp.tc.cornell.edu/pub/Data.Explorer/by_discipline/earth+space_science/README</url> <reference><url></url> <contact>Lloyd Treinish / ydt@watson.ibm.com <keywords>data visualization <category>data-analysis-vis <publication-date> <environment> <method> <application>earth and space sciences <comments> </urc>