A spatiotemporal database for ozone in the conterminous U.S.

Xin Li, Xingyou Zhang, Reinhard Piltner

Research output: Contribution to book or proceedingConference articlepeer-review

12 Scopus citations

Abstract

This paper considers a set of ozone data in the conterminous U.S., which records the ozone concentration levels at a set of monitoring sites during 1994 and 1999. Existing GIS techniques are insufficient in handling such kind of spatiotemporal data in terms of data interpolation, visualization, representation and querying. We adopt 3-D shape functions from finite element methods for the spatiotemporal interpolation of the ozone dataset and analyze interpolation errors. The 3-D shape function based method estimates ozone concentration levels with less than 10 percent Mean Absolute Percentage Error. We give two approaches for visualizing the data: (i) combining the ArcGIS visualization tool with shape function interpolation results to visualize the ozone data for each year from 1994 and 1999, (ii) using Matlab to visualize the interpolated ozone data in a 3-D vertical profile display. For the spatiotemporal data representation, we use the constraint data model, because it can give an efficient and accurate representation of interpolation results. Finally, we give some practical query examples.

Original languageEnglish
Title of host publicationProceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006
Pages168-176
Number of pages9
DOIs
StatePublished - 2006
Event13th International Symposium on Temporal Representation and Reasoning, TIME 2006 - Budapest, Hungary
Duration: Jun 15 2006Jun 17 2006

Publication series

NameProceedings of the International Workshop on Temporal Representation and Reasoning
Volume2006

Conference

Conference13th International Symposium on Temporal Representation and Reasoning, TIME 2006
Country/TerritoryHungary
CityBudapest
Period06/15/0606/17/06

Scopus Subject Areas

  • General Engineering

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