Identification and Analysis of Climatic Fields through Dot-Density Shading

Authors

• Stephen J. Lavin, University of Nebraska - Lincoln
• Randall S. Cerveny, University of Nebraska - LincolnFollow

Document Type

Article

Date of this Version

1986

Comments

© 1986 American Meteorological Society

https://doi.org/10.1175/1520-0426(1986)0032.0.CO;2

Abstract

Gridded matrices of climatic data can be mapped by computer with a variety of symbolization methods, all of which have some shortcomings. A new mapping procedure, dot-density shading, is herein proposed as an alternative mapping form. Dot-density shading produces continuous-appearing dot patterns whose density is proportional to the data. Significant algorithms are those for computing dot numerosity and quasi-random dot placement. A number of application including data error detection and anomaly recognition are discussed.