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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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Bibliografiska uppgifter
I publikationen:J Vis Lang Comput
Huvudupphovsmän: Koo, Hyeongmo, Chun, Yongwan, Griffith, Daniel A.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2017
Ämnen:
Länkar: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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