A visual analytics approach to understanding spatiotemporal hotspots

IEEE Transactions on Visualization and Computer Graphics

Volumn 16, Issue 2, 2010, Pages 205-220

  MacIejewski, Ross ^a   Rudolph, Stephen ^a   Hafen, Ryan ^a   Abusalah, Ahmad ^b   Yakout, Mohamed ^a   Ouzzani, Mourad ^b   Cleveland, William S ^a   Grannis, Shaun J ^c   Ebert, David S ^a  

^a Purdue University   (United States)

^b PURDUE UNIVERSITY   (United States)

^c INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Geovisualization; Hypothesis exploration.; Kernel density estimation; Syndromic surveillance

Indexed keywords

CONTEXTUAL INFORMATION; CRITICAL AREA; DATA SETS; DATA SOURCE; DEGREE OF UNCERTAINTY; DETECTION ALGORITHM; GEOVISUALIZATION; HIGH SIGNAL-TO-NOISE RATIO; HOTSPOTS; INTERACTIVE FILTERING; KERNEL DENSITY ESTIMATION; LINKED VIEWS; SPACE AND TIME; SPATIO-TEMPORAL DATA; STATISTICAL DATA MODEL; SYNDROMIC SURVEILLANCE; TOOLSETS; USER ATTENTION; VISUAL ANALYTICS; VISUAL ENVIRONMENTS;

FADING (RADIO);

SIGNAL TO NOISE RATIO;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER SIMULATION; INFORMATION RETRIEVAL; METHODOLOGY; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER GRAPHICS; COMPUTER SIMULATION; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, THEORETICAL; USER-COMPUTER INTERFACE;

EID: 76849103505     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2009.100     Document Type: Conference Paper

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