| contributor author | Lavin, Stephen J. | |
| contributor author | Cerveny, Randall S. | |
| date accessioned | 2017-06-09T14:37:38Z | |
| date available | 2017-06-09T14:37:38Z | |
| date copyright | 1986/09/01 | |
| date issued | 1986 | |
| identifier issn | 0739-0572 | |
| identifier other | ams-231.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4159623 | |
| description 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. | |
| publisher | American Meteorological Society | |
| title | Identification and Analysis of Climatic Fields through Dot-Density Shading | |
| type | Journal Paper | |
| journal volume | 3 | |
| journal issue | 3 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/1520-0426(1986)003<0552:IAAOCF>2.0.CO;2 | |
| journal fristpage | 552 | |
| journal lastpage | 558 | |
| tree | Journal of Atmospheric and Oceanic Technology:;1986:;volume( 003 ):;issue: 003 | |
| contenttype | Fulltext | |