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Spatio-Temporal Visualization of Environmental & Health Indicators Ravi K. Sharma, PhD Bambang Parmanto, PhD Pei Chen Lee, Ms Conrad Daniel Volz Jr, DrPH University of Pittsburgh, Graduate School of Public Health University of Pittsburgh
Objective • Demonstration of different ways to visualize spatio-temporal environmental and health indicators using • (1) STIS – Space Time Information System and • (2) ESTAT – Exploratory Spatio-Temporal Analysis Toolkit. • The STIS application is illustrated using data from a study assessing the relationship between PM10 & birth weight. • The ESTAT is illustrated using arsenic, smoking, and lung cancer mortality rates.
Dynamic Data Exploration • STIS provides interactive visualization for your space-time data. • Maps • Box plots • Histograms • Time plots • Parallel coordinate plots • Scatter plots • Moran scatter plots • Variogram clouds
Data used for STIS • Birth data from the Allegheny County Health Department, Pittsburgh, PA • Term singleton live births (gestational age ≥ 37 weeks and birth weight <2500 grams) • Born between January 1, 1994 and December 31, 2000 • N = 81,341 term singleton births
Method (Cont.) • Quarterly PM10 air pollution concentrations for each census tract were obtained from RAND’s center for Population Health and Health Disparities Data Core. • PM10 concentrations were calculated by inverse distance weighted method.
Spatio-Temporal Clustering Term Low Birth Weight Rate Over Time-Local Moran
Spatio-Temporal MapPM10 First Trimester Exposure by Municipality
Spatio-Temporal Map of ClustersPM10 First Trimester Exposure-Local Moran
Spatio-Temporal MapPM10 Second Trimester Exposure by Municipality
Spatio-Temporal MapsPM10 Third Trimester Exposure by Municipality
Geographically Weighted Regression Coefficient and P-value PM10 and % LBW
Geographically Weighted Regression Coefficient PM10 and % LBW
Geographically Weighted Regression P-value PM10 and % LBW
ESTAT Geovisualization toolkit has been developed by the GeoVISTA Center in close cooperation with users at the National Cancer Institute. The ESTAT toolkit provides user-friendly, open-source software designed to support exploratory geographic visualization. • http://www.geovista.psu.edu/ESTAT/
Internet based SOVAT (Spatial OLAP Visualization and Analytical Tool) The iSOVAT Tool being developed at University of Pittsburgh will have spatiotemporal visualization and rate smoothing functionality