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NCPLOT: Area Charts: Difference between revisions

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Revision as of 08:52, 5 July 2018


General

The visualisation of a data set is described in a so-called 'layer'. The assignment of colors to values of a data set and the form of representation of the underlying geometry are set in one layer block of the steering file. Different layers can be plotted in a map lying upon each other.

Color legends used by a layer can be displayed on the scene and can be arranged horizontally or vertically. Another layer dependent, optional image element is a text field for the data label (e.g. Indication of the time).

Also simple data operations can be executed (addition, subtraction, multiplication, division, absolute value, square root).


Types of area charts

Map, or top view illustration

Scaled maps, or top view representation of simulation or analysis results.

Picture 1: Salinity with underlaid topography.

Options of presentation

The data are presented by the program at their original positions (node, edge, face). A horizontal interpolation of the data is also possible. In addition to the fill area symbolization the data can be visualized by line symbolization by marker symbols or text. For edge and polygon data, there are also the possibilities of point-symbolization. In this case the marker or the text is positioned at the middle of the edge or at the polygon center. The edges of polygons can be also visualized by lines symbolization.

The sample pictures illustrate the capability of the program NCPLOT.
Example Figures: Map View

Coordinate frame

Each map can be framed. The type of frame can be a simple black edging or a complex frame with coordinates. The offered coordinate frames are optimized for values belonging to Gauss Krüger or to universal transverse mercator (UTM) projections. Different maps can be arranged in one picture.

Vector representation

If the X- and the Y-component of a vector quantity exists, the visualization of the entire vector is possible. Normal components of a vector quantity saved on edges can be visualized as a normal vector of the edge or as an interpolated total vector.
The thin out of the display of vector arrows is possible.



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