Multi-perspective analysis and spatiotemporal mapping of air pollution monitoring data

Environmental Science and Technology

Volumn 44, Issue 17, 2010, Pages 6738-6744

  Kolovos, Alexander ^a   Skupin, André ^b   Jerrett, Michael ^c   Christakos, George ^b  

^a SAS INSTITUTE INC   (United States)

^b SAN DIEGO STATE UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION MONITORING; ATMOSPHERIC SCIENCE; BAYESIAN MAXIMUM ENTROPIES; CALIFORNIA; DATA ANALYSIS; DATA SOURCE; GEOMETRIC REPRESENTATION; HIGH DIMENSIONAL DATA; INPUT DATAS; MULTI-PERSPECTIVE; PREDICTION MODEL; PREDICTION TECHNIQUES; REGULAR GRIDS; SPATIALIZATION; SPATIO-TEMPORAL PREDICTION;

AIR QUALITY; DATA REDUCTION; DATA VISUALIZATION; FORECASTING; MATHEMATICAL MODELS; METADATA; MONITORING; VISUALIZATION;

UNCERTAINTY ANALYSIS;

NITROGEN DIOXIDE; SULFATE;

ATMOSPHERIC POLLUTION; BAYESIAN ANALYSIS; DATA INTERPRETATION; NITROGEN DIOXIDE; POLLUTION MONITORING; SPATIOTEMPORAL ANALYSIS; SULFATE; TRANSFORMATION;

AIR POLLUTION; ARTICLE; BAYES THEOREM; GEOMETRY; POLLUTION MONITORING; UNITED STATES;

AIR POLLUTION; BAYES THEOREM; ENTROPY; ENVIRONMENTAL MONITORING; MODELS, CHEMICAL; NITROGEN DIOXIDE; SULFATES; TIME FACTORS;

CALIFORNIA; UNITED STATES;

EID: 77956144745     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es1013328     Document Type: Article

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