Ch 14: Displaying Visualization Data

About This Chapter

If you want to strengthen your understanding of visualization data displays, then this chapter is for you. You'll find fun training lessons and quizzes that are designed to improve your information systems knowledge and advance your career.

Displaying Visualization Data - Chapter Summary

Work through this chapter at your own pace to review topics pertaining to the display of visualization data. This collection of simple and concise lessons examines a variety of data visualization concepts, including geovisualization, geomatic engineering, geodesy, hierarchical clustering, information visualization and much more.

Try the accompanying lesson quizzes and chapter exam to help you retain the terms and concepts you study. Our expert instructors are available to answer any questions you may have, and you can revisit the lessons as many times as needed. You can also access the chapter at any time using your computer or mobile device.

How It Helps

Professionals who work in information systems need to know how to visually display different types of data. This chapter can help aspiring information systems professionals get ahead in a training course, learn new skills and build on existing information systems knowledge. Experienced employees can also review these lessons to brush up on data visualization display information, approaches and techniques.

Skills Covered

By the end of the chapter, you will be able to:

  • Define scientific visualization, geovisualization, geomatic engineering and geodynamics
  • Evaluate and analyze examples of geospatial data
  • Identify tools and techniques that are used in geovisualization and information visualization
  • Understand the uses of geomatic engineering
  • List the branches of geodesy
  • Compare information visualization and visual data mining
  • Analyze dendrograms
  • Recognize the different types of hierarchical clustering
  • Explain agglomerative and divisive hierarchical clustering
  • Assess the uses of multidimensional scaling in marketing research and data analysis
  • Outline TreeMap data structure and recognize the uses of TreeMap in Java
  • Differentiate between TreeMap and HashMap in Java

20 Lessons in Chapter 14: Displaying Visualization Data
Test your knowledge with a 30-question chapter practice test
Scientific Visualization: Definition & Examples

1. Scientific Visualization: Definition & Examples

In this lesson, we will define visualization and scientific visualization and show how the two are related, then examine some examples of scientific visualization.

Geospatial Data: Definition & Example

2. Geospatial Data: Definition & Example

In this lesson, we'll take a look at geospatial data, what it is, and some examples of its use. At the end, you should have a good understanding of this important concept.

Geospatial Data Analysis: Definition & Example

3. Geospatial Data Analysis: Definition & Example

Within this lesson, we'll examine the concept of geospatial data. We'll define it and we'll define geospatial data analysis and look at some examples of its use.

Geovisualization: Definition & Examples

4. Geovisualization: Definition & Examples

In this lesson, we'll take a look at Geovisualization, what it is, and some examples. At the end, you should have a good understanding of this relatively new catch-phrase.

Geovisualization: Tools & Techniques

5. Geovisualization: Tools & Techniques

In this lesson, we'll take a look at Geovisualization, what it is, some tools you might use to make it happen, and some techniques that lend themselves to it.

Geomatic Engineering: Definition & Uses

6. Geomatic Engineering: Definition & Uses

In this lesson, we'll define engineering and specifically Geomatics Engineering. We'll determine what it is used for and give some examples. At the end, you should have a good understanding of this globally significant area.

Geodesy: Definition & Branches

7. Geodesy: Definition & Branches

In this lesson, we'll take a look at Geodesy, a mathematical discipline with three branches and many uses. At the end, you should have a good understanding of this world affecting discipline.

What is Geodynamics?

8. What is Geodynamics?

In this lesson, we'll take a look at Geodynamics, what it is, what it's used for, and how computers are used in it. At the end, you should have a good understanding of this interesting area.

Information Visualization: Examples & Types

9. Information Visualization: Examples & Types

In this lesson, we'll take a look at visualization, what it is, what information visualization is, types of information visualization, and some examples.

Information Visualization: Tools & Techniques

10. Information Visualization: Tools & Techniques

In this lesson, we'll take a look at information visualization, what it is, some tools you might use to make it happen, and some techniques that lend themselves to it.

Information Visualization & Visual Data Mining

11. Information Visualization & Visual Data Mining

In this lesson, we will define Visualization and Information Visualization. We will then discuss Visual Data Mining and how it is related to Information Visualization.

Dendrogram: Definition, Example & Analysis

12. Dendrogram: Definition, Example & Analysis

In this lesson, we will explain what a dendrogram is, give an example, and show how it is used in analyzing data. At the end, you should have a good understanding of this interesting concept.

Hierarchical Clustering: Definition, Types & Examples

13. Hierarchical Clustering: Definition, Types & Examples

In this lesson, we'll take a look at hierarchical clustering, what it is, the various types, and some examples. At the end, you should have a good understanding of this interesting topic.

Agglomerative Hierarchical Clustering: Example & Analysis

14. Agglomerative Hierarchical Clustering: Example & Analysis

In this lesson, we'll take a look at the concept of agglomerative hierarchical clustering, what it is, an example of its use, and some analysis of how it works.

Divisive Hierarchical Clustering: Example & Analysis

15. Divisive Hierarchical Clustering: Example & Analysis

In this lesson, we'll take a look at the concept of divisive hierarchical clustering, what it is, an example of its use, and some analysis of how it works.

Multidimensional Scaling: Definition & Use

16. Multidimensional Scaling: Definition & Use

In this lesson, we will define scaling and, in particular, multidimensional scaling. We will examine what multidimensional scaling is used for. At the end, you should have a good understanding of this useful technique.

Multidimensional Scaling in Data Analysis: Definition & Examples

17. Multidimensional Scaling in Data Analysis: Definition & Examples

In this lesson, we'll take a look at multidimensional scaling in data analysis and how the two are related. You'll see how we use multidimensional analysis to organize and better understand information.

Treemap Data Structure: Visualization & Example

18. Treemap Data Structure: Visualization & Example

There are many ways that data can be graphically arranged. This lesson will define the treemap data structure, providing sample visuals of how a standard tree structure can be organized in a treemap.

TreeMap in Java: Use & Example

19. TreeMap in Java: Use & Example

In this lesson, we'll take a look at a TreeMap in Java and see what it's used for and go through an example. At the end, you should have a good understanding of this important element in Java.

TreeMap vs. HashMap in Java

20. TreeMap vs. HashMap in Java

In this lesson, we'll take a look at the concept of a map, a Java TreeMap, and a Java HashMap. How do these compare to each other? At the end, you should have a good understanding of these important ideas.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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