Eliminate

Eliminate The eliminate operator can also be referred to as 'omit.'It can be implemented to remove features when they become unnecessary or illegible at a certain scale. It evolved from the omission operator, instituted by Raisz in 1962 and has also been known as “refine” at several points over the years including as recently as 2007 with Regnauld and McMaster. [4] It is helpful to use this operator when objects do not portray a clear message or fulfill the purpose for which they were created. There are four conditions that generally indicate when the eliminate operator should be used. If: the data has a resolution that is to coarse for the viewing scale that results in a mismatch with other layers. the data has too detailed of a resolution, thus providing unnecessary information. there are too many layers at a given scale which creates illegibility. only the most significant features in a grouping are required to convey a specific message. There is also a special case that has been identified by researchers in which a subset of features is eliminated from a larger whole to help reinforce the order of the visual hierarchy.[5] The figure below shows an example of elimination. In the picture with a smaller scale on the left, all the features can be seen (ex: wetlands, water, urban landscape, etc). On the right where the scale is larger, the additional features could not be shown legibly with the streets and are removed to easily view the streets.

↑ The ScaleMaster Typology: Literature Foundation; Roth, Stryker and Brewer; http://www.personal.psu.edu/cab38/ScaleMaster/ScaleMaster_Typology_Literature_Review_booklet_Roth_final.pdf

↑ 5.0 5.1 5.2 5.3 Roth, R., Stryker, M., & Brewer, C. A. The ScaleMaster Typology: Literature Foundation. Retrieved 9 Oct. 2011.