A visual analytics approach to understanding spatiotemporal hotspots.
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Web GIS in practice IX: a demonstration of geospatial visual analytics using Microsoft Live Labs Pivot technology and WHO mortality data.Visual analytics for epidemiologists: understanding the interactions between age, time, and disease with multi-panel graphsVisual analytics of surveillance data on foodborne vibriosis, United States, 1973-2010.All health care is not local: an evaluation of the distribution of Emergency Department care delivered in IndianaA geospatial mixed methods approach to assessing campus safety.Opening up the “black box” of medical image segmentation with statistical shape modelsA visual analytics framework for spatio-temporal analysis and modellingDirected kernel density estimation (DKDE) for time series visualizationSimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data
P2860
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P2860
A visual analytics approach to understanding spatiotemporal hotspots.
description
2010 nî lūn-bûn
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2010年の論文
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2010年学术文章
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name
A visual analytics approach to understanding spatiotemporal hotspots.
@en
A visual analytics approach to understanding spatiotemporal hotspots.
@nl
type
label
A visual analytics approach to understanding spatiotemporal hotspots.
@en
A visual analytics approach to understanding spatiotemporal hotspots.
@nl
prefLabel
A visual analytics approach to understanding spatiotemporal hotspots.
@en
A visual analytics approach to understanding spatiotemporal hotspots.
@nl
P2093
P356
P1476
A visual analytics approach to understanding spatiotemporal hotspots.
@en
P2093
Ahmad M Abusalah
Mohamed Yakout
Mourad Ouzzani
Ross Maciejewski
Ryan Hafen
Shaun J Grannis
Stephen Rudolph
William S Cleveland
P304
P356
10.1109/TVCG.2009.100
P50
P577
2010-03-01T00:00:00Z