Abstract
Professional-looking text and graphic slides enable an audience to comprehend the main ideas of a presentation more quickly. With the advent of easy-to-use graphic software packages and the affordability of personal computer hardware to run this software, researchers may now prepare their own slides or transparencies. This paper describes basic graphic software design and offers criteria for selection of an appropriate software package for scientific research presentations. Comparisons between two prototype graphics packages, Harvard Graphics and SAS/Graph, are made on the basis of the following selection criteria: (1) basic software design, (2) available hardware, (3) output device drivers, (4) available statistical graphics, and (5) data import/export facilities. Graphic style is also addressed here with sample graphs illustrating a current popular theory of visual discrimination.
Keywords
Graphic Software Design, WYSIWYG, Visual Perception
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Shelley, Kathy
(1989).
"EVALUATION OF PRESENTATION GRAPHICS FOR THE AGRICULTURAL SCIENCES,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1458
EVALUATION OF PRESENTATION GRAPHICS FOR THE AGRICULTURAL SCIENCES
Professional-looking text and graphic slides enable an audience to comprehend the main ideas of a presentation more quickly. With the advent of easy-to-use graphic software packages and the affordability of personal computer hardware to run this software, researchers may now prepare their own slides or transparencies. This paper describes basic graphic software design and offers criteria for selection of an appropriate software package for scientific research presentations. Comparisons between two prototype graphics packages, Harvard Graphics and SAS/Graph, are made on the basis of the following selection criteria: (1) basic software design, (2) available hardware, (3) output device drivers, (4) available statistical graphics, and (5) data import/export facilities. Graphic style is also addressed here with sample graphs illustrating a current popular theory of visual discrimination.
