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  2. Multivariate map - Wikipedia

    en.wikipedia.org/wiki/Multivariate_map

    A small multiple is a series of small maps, arranged in a grid or array, each of which shows a different (but possibly related) variable over the same space. [15] It has been argued that this is not technically a multivariate map because it is a set of separate maps, [1] but it is included here because it is intended to accomplish the same purpose.

  3. Dot distribution map - Wikipedia

    en.wikipedia.org/wiki/Dot_distribution_map

    A dot distribution map (or a dot density map or simply a dot map) is a type of thematic map that uses a point symbol to visualize the geographic distribution of a large number of related phenomena. Dot maps are a type of unit visualizations that rely on a visual scatter to show spatial patterns, especially variances in density.

  4. Multidimensional scaling - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_scaling

    Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a data set. MDS is used to translate distances between each pair of objects in a set into a configuration of points mapped into an abstract Cartesian space.

  5. Small multiple - Wikipedia

    en.wikipedia.org/wiki/Small_multiple

    Small multiple map series showing the trends in partisan voting margins in Utah, 1900–2012. Small multiples are a popular technique in cartographic design for multivariate mapping. As with the small multiple chart, each panel uses the same underlying two-dimensional space, but in this case that is a geographic space.

  6. Parallel coordinates - Wikipedia

    en.wikipedia.org/wiki/Parallel_coordinates

    Parallel Coordinates plots are a common method of visualizing high-dimensional datasets to analyze multivariate data having multiple variables, or attributes. To plot, or visualize, a set of points in n -dimensional space , n parallel lines are drawn over the background representing coordinate axes, typically oriented vertically with equal spacing.

  7. t-distributed stochastic neighbor embedding - Wikipedia

    en.wikipedia.org/wiki/T-distributed_stochastic...

    Herein a heavy-tailed Student t-distribution (with one-degree of freedom, which is the same as a Cauchy distribution) is used to measure similarities between low-dimensional points in order to allow dissimilar objects to be modeled far apart in the map. The locations of the points in the map are determined by minimizing the (non-symmetric ...

  8. Plot (graphics) - Wikipedia

    en.wikipedia.org/wiki/Plot_(graphics)

    Comet plot : A two- or three-dimensional animated plot in which the data points are traced on the screen. Contour plot : A two-dimensional plot which shows the one-dimensional curves, called contour lines on which the plotted quantity q is a constant. Optionally, the plotted values can be color-coded.

  9. Logistic map - Wikipedia

    en.wikipedia.org/wiki/Logistic_map

    The behavior of the logistic map is shown in Cobweb plot form. The animation shows the change in behavior as the parameter (r in the figure) is increased from 1 to 4, starting from an initial value of 0.2.) The logistic map is a discrete dynamical system defined by the quadratic difference equation:

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