The Essentials of Scientific Visualization
Basic Techniques and Common Problems
Bibliographic Data
| ID | 12170449 |
|---|---|
| Authors | Steven E Follin (corresponding author) |
| Year | 1992 |
| Volume | 10 |
| Issue | 4 |
| Pages | 569-580 |
| Publication date | 1992-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science Computer Review (JOURNAL) |
| Journal identifiers | ISSN: 0894-4393 • E-ISSN: 1552-8286 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/089443939201000409 |
| OpenAlex | W2075013207 |
| Language | EN |
| Citations received | 2 |
| References cited | 3 |
The advent of affordable computer graphics hardware and software has initiated great interest in using this technology for interpreting and displaying multidimensional data. The first part of this article ( SSCORE 10:3, Fall 1992) discussed the basic hardware and software components of a 3-D visualization system and presented an example illustrating 3-D visualization of social science data. This paper describes basic 3-D visualization techniques and examines commonly encountered problems. The intent of these discussions is to help social scientists determine whether 3-D visualization may be a useful tool in their work and provide interested researchers with sufficient information to begin the planning process for a visualization laboratory
Component-based software engineering · Computer graphics · Computer graphics (images · Data mining · Data science · Data visualization · Graphics · Human–computer interaction · Information visualization · Process (computing · Programming language · Scientific visualization · Software development · Software engineering · Software visualization · Visual analytics · Visualization · Computer Science · Data Visualization and Analytics · Software
| Citations per year | 0.06 |
|---|---|
| Citation span | 1994 - 1994 (1) |
| Highly cited | No |