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Related Concept Videos

pV-Diagrams01:18

pV-Diagrams

The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
Bar Graph01:07

Bar Graph

A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
Multiple Bar Graph01:07

Multiple Bar Graph

As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
Histogram01:05

Histogram

The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
Pie Chart01:04

Pie Chart

A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...

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Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
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Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

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Point-Based Visualization for Large Hierarchies.

H-J Schulz, S Hadlak, H Schumann

    IEEE Transactions on Visualization and Computer Graphics
    |June 10, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an efficient space-filling tree layout using point-based rendering for large datasets and small screens. The novel approach enhances interaction and visual cues, offering a flexible and evaluated visualization technique.

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    Area of Science:

    • Computer Science
    • Information Visualization

    Background:

    • Space-filling layouts are crucial for visualizing large datasets or limited screen space.
    • Existing tree representations face challenges with scalability and interactivity.

    Purpose of the Study:

    • To propose an efficient space-filling tree layout technique.
    • To integrate point-based rendering mechanisms for improved visualization.
    • To introduce novel interaction techniques and visual cues.

    Main Methods:

    • Developed a novel space-filling tree layout algorithm.
    • Utilized point-based rendering principles.
    • Incorporated interaction techniques and visual cues.
    • Conducted numerical evaluations (Ink-Paper Ratio, overplotted%) and a user study.

    Main Results:

    • The proposed layout is efficient for space-filling tree representations.
    • The integration of point-based rendering enhances visualization.
    • Evaluations demonstrate the effectiveness and flexibility of the new layout.
    • The approach is adaptable to different application frameworks.

    Conclusions:

    • The novel space-filling tree layout offers an efficient and interactive visualization method.
    • Point-based rendering provides a robust foundation for tree visualization.
    • The technique shows promise for various applications requiring dense data display.