Conveying multiple, complex themes and classes for natural resource assessments

Geocarto International
By:  and 



Two methods were used to convey the spatial association between a classified forested landscape, the distribution of a hurricane impact, and the subsequent recovery of the habitat from the storm. The first method used a constant hue matrix with varying intensity to visually represent combinations of impact and recovery magnitudes. The second combined two colors of constant hue to represent the impact and recovery succession. Maps produced using either method generally simulated known impact and recovery spatial distributions. In the constant hue representation with varying intensity, the combination of impact and recovery could not be uniquely represented in all cases and the relationship was confused between the map and legend color. In the two color representation, however, a definite link existed between the map and legend color and the impact and recovery magnitudes. A drawback to this approach over the constant hue approach was that a separate map had to be used to represent each forest type and its associated impact and recovery covariation. The two color combination, however, provided improved contrast and uniquely defined the link between map and legend colors, and ultimately, a unique impact and recovery combination. In addition, the two color combination produced the highest conveyance of spatial information related to the covariation of forest type, impact, and recovery.

Study Area

Publication type Article
Publication Subtype Journal Article
Title Conveying multiple, complex themes and classes for natural resource assessments
Series title Geocarto International
DOI 10.1080/10106049908542150
Volume 15
Issue 2
Year Published 2000
Language English
Publisher Taylor & Francis
Contributing office(s) National Wetlands Research Center, Wetland and Aquatic Research Center
Description 8 p.
First page 31
Last page 38
Country United States
State Louisiana
Other Geospatial Atchafalaya Basin
Google Analytic Metrics Metrics page
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