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#!N
#!CSeaGreen #!N #!Rfields Fields #!N #!EC #!N #!N
Given the sets of numbers, "positions," "connections," and "data," we can
define a #!F-adobe-times-medium-i-normal--18* Field #!EF , as it is called in
Data Explorer. The positions identify locations in space, the (optional) connections
define logical continuities (interpolation paths) between positions, and the data are
the values measured either at each position or within each connection
element. Data Explorer calls each of these sets of numbers (positions,
connections, data) a Field #!F-adobe-times-medium-i-normal--18* component #!EF . Components are represented
as arrays of numbers with some auxiliary information specifying #!F-adobe-times-medium-i-normal--18* attributes
#!EF (e.g., type of dependency). In addition, there are many other
types of Field components. The Field is the basic unit of
information in Data Explorer, so it is important to understand how
to express your data in these terms. #!N #!N A Field
can only have one "positions" and one "connections" component. A Field
can have only one component actually named "data," but you may
assign names of your choosing to additional components representing other data
sets that are also mapped to the same grid. So you
can name a "data" component "temperature" and another "wind velocity," or
you can just use the default name "data" if you only
have one "data" component. #!N #!N The ".dx" file format provides
the most flexibility for describing data sets to Data Explorer. But
many researchers produce fairly straightforward arrays of numbers mapped onto regular
or deformed regular grids. If your data are already written out
in such a form, you may not need to convert your
data files into the native ".dx" file format. Instead, Data Explorer's
General Array Importer can read your data directly, given a small
"header" file that you create to tell the General Array Importer
the name of your data file and its dimensions (see #!Lqimd,dxall109 h Importing Data #!EL
in IBM Visualization Data Explorer QuickStart Guide). #!N #!N This shorthand
description is enough for Data Explorer to convert your data structure
into a Field when it reads your raw data file. You
will still find it valuable to understand the components of a
Field, because once you begin using the Data Explorer visual programming
language, you will have direct access to these components. Much of
the power and flexibility of the visual programming language is derived
from our ability to access and manipulate Field components in a
variety of ways. #!N #!N #!N #!F-adobe-times-medium-i-normal--18* Next Topic #!EF #!N
#!N #!Lall195,dxall196 h Visual Programming: The Basics #!EL #!N #!F-adobe-times-medium-i-normal--18* #!N
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