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Geovisualizing attribute uncertainty of interval and ratio variables: a framework and an implementation for vector data

Geovisualization of attribute uncertainty helps users to recognize underlying processes of spatial data. However, it still lacks an availability of uncertainty visualization tools in a standard GIS environment. This paper proposes a framework for attribute uncertainty visualization by extending biva...

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Bibliografiske detaljer
Udgivet i:J Vis Lang Comput
Main Authors: Koo, Hyeongmo, Chun, Yongwan, Griffith, Daniel A.
Format: Artigo
Sprog:Inglês
Udgivet: 2017
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5831545/
https://ncbi.nlm.nih.gov/pubmed/29503517
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jvlc.2017.11.007
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