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A temporal raster plot is a graphic representation of occurrences in a certain temporal relation. Temporal raster plots are also sometimes referred to as carpet plots . Each occurrence is registered in a Cartesian coordinate system, in which both axes show time but have different time resolutions: one axis shows slices of data, the other some ...
For example, to plot the data in file "data": set xlabel "steps" set ylabel "result" unset key #use bars in plot: with boxes #choose line color/style in plot: linetype n #plot filled bars (fs): pattern n set style fill pattern 2 plot "data" with boxes linetype 3 fs
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Plotting the line from (0,1) to (6,4) showing a plot of grid lines and pixels. All of the derivation for the algorithm is done. One performance issue is the 1/2 factor in the initial value of D. Since all of this is about the sign of the accumulated difference, then everything can be multiplied by 2 with no consequence.
Carpet plots have common applications within areas such as material science for showing elastic modulus in laminates, [1] and within aeronautics. [2] [3] Another plot sometimes referred to as a carpet plot is the temporal raster plot.
Programmable, direct support of 2D+3D plotting. Interfaces to many other software packages. Interfacing to external modules written in C, Java, Python or other languages. Language syntax similar to MATLAB. Used for numerical computing in engineering and physics. Smath Studio: SMath LLC (Andrey Ivashov) 2006 1.0.8348 11 September 2022: Free
Example(s) Interface Licence(s) Initial Release Year Latest Release Operating system Distinguishing features License Open Source (yes/no) Kst: GUI, CLI GPL Yes 2004 2021, v 2.0.x Linux, Windows, Mac fast real-time large-dataset plotting and viewing tool with basic data analysis functionality AIDA: LGPL: Yes 2001: October 2003 / 3.2.1
The top row is a series of plots using the escape time algorithm for 10000, 1000 and 100 maximum iterations per pixel respectively. The bottom row uses the same maximum iteration values but utilizes the histogram coloring method. Notice how little the coloring changes per different maximum iteration counts for the histogram coloring method plots.