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Grant Details

Grant Number: 5R01CA092669-03 Interpret this number
Primary Investigator: Jacquez, Geoffrey
Organization: Biomedware
Project Title: A Space-Time Information System for the NCI Cancer Atlas
Fiscal Year: 2003


Visualization is a widely used and effective means of communicating information about complex relationships among variables, their geographic distributions, and of how those distributions change through time. Visualizations that are interactive (e.g. giving the user control over viewing perspective, display characteristics, and access to related statistical information) and animated (e.g. able to display change through time as a seamless sequence) comprise an intuitive environment for interrogating databases, extracting knowledge, and for formulating explanatory and other hypotheses. Most web- GIS employ a centralized architecture that sends graphics and queries over the www. Because of slow communication protocols this architecture is inherently incapable of supporting real-time interaction between the user, the visualization engine, and the georeferenced database. This project employs two new technologies, Space-Time Information Systems (STIS) and WebBots to develop an open-source system for Omicron Interactive visualization of space-time change in cancer mortality patterns, and the uncertainties associated with those mortalities; Omicron Exploring multivariate relationships in cancer mortality as a function of spatial scale. This open-source system will be disseminated over the www, and is ultimately expected to increase our understanding of how mortality from different cancers covary, with one another, through space, and through time.


Validity of spatial models of arsenic concentrations in private well water.
Authors: Meliker J.R. , AvRuskin G.A. , Slotnick M.J. , Goovaerts P. , Schottenfeld D. , Jacquez G.M. , Nriagu J.O. .
Source: Environmental research, 2008 Jan; 106(1), p. 42-50.
EPub date: 2007-10-17.
PMID: 17942092
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Space-time clustering of case-control data with residential histories: insights into empirical induction periods, age-specific susceptibility, and calendar year-specific effects.
Authors: Meliker J.R. , Jacquez G.M. .
Source: Stochastic environmental research and risk assessment : research journal, 2007 Aug; 21(5), p. 625-634.
PMID: 18560470
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Individual lifetime exposure to inorganic arsenic using a space-time information system.
Authors: Meliker J.R. , Slotnick M.J. , Avruskin G.A. , Kaufmann A. , Fedewa S.A. , Goovaerts P. , Jacquez G.J. , Nriagu J.O. .
Source: International archives of occupational and environmental health, 2007 Jan; 80(3), p. 184-97.
EPub date: 2006-08-09.
PMID: 16897097
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Space-time visualization and analysis in the Cancer Atlas Viewer.
Authors: Greiling D.A. , Jacquez G.M. , Kaufmann A.M. , Rommel R.G. .
Source: Journal of geographical systems, 2005 May; 7(1), p. 67-84.
PMID: 18509516
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Detection of temporal changes in the spatial distribution of cancer rates using local Moran's I and geostatistically simulated spatial neutral models.
Authors: Goovaerts P. , Jacquez G.M. .
Source: Journal of geographical systems, 2005 May; 7(1), p. 137-159.
PMID: 16710441
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Exploring scale-dependent correlations between cancer mortality rates using factorial kriging and population-weighted semivariograms.
Authors: Goovaerts P. , Jacquez G.M. , Greiling D. .
Source: Geographical analysis, 2005 Apr; 37(2), p. 152-182.
PMID: 16915345
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Global, local and focused geographic clustering for case-control data with residential histories.
Authors: Jacquez G.M. , Kaufmann A. , Meliker J. , Goovaerts P. , AvRuskin G. , Nriagu J. .
Source: Environmental health : a global access science source, 2005-03-22; 4(1), p. 4.
EPub date: 2005-03-22.
PMID: 15784151
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Visualization and exploratory analysis of epidemiologic data using a novel space time information system.
Authors: Avruskin G.A. , Jacquez G.M. , Meliker J.R. , Slotnick M.J. , Kaufmann A.M. , Nriagu J.O. .
Source: International journal of health geographics, 2004-11-08; 3(1), p. 26.
EPub date: 2004-11-08.
PMID: 15533253
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Current practices in the spatial analysis of cancer: flies in the ointment.
Authors: Jacquez G.M. .
Source: International journal of health geographics, 2004-10-12; 3(1), p. 22.
EPub date: 2004-10-12.
PMID: 15479473
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Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York.
Authors: Goovaerts P. , Jacquez G.M. .
Source: International journal of health geographics, 2004-07-23; 3(1), p. 14.
EPub date: 2004-07-23.
PMID: 15272930
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Local clustering in breast, lung and colorectal cancer in Long Island, New York.
Authors: Jacquez G.M. , Greiling D.A. .
Source: International journal of health geographics, 2003-02-17; 2(1), p. 3.
EPub date: 2003-02-17.
PMID: 12633503
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Geographic boundaries in breast, lung and colorectal cancers in relation to exposure to air toxics in Long Island, New York.
Authors: Jacquez G.M. , Greiling D.A. .
Source: International journal of health geographics, 2003-02-17; 2(1), p. 4.
EPub date: 2003-02-17.
PMID: 12633502
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