Utilizing Open Source Software for Data Processing and Visualization Erin Wardell, AICP Parsons Brinckerhoff Prepared for the 2009 TRB National Transportation.

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Utilizing Open Source Software for Data Processing and Visualization Erin Wardell, AICP Parsons Brinckerhoff Prepared for the 2009 TRB National Transportation Planning Applications Conference

Data challenges Model runs produce huge amounts of data Agencies need ways to quickly process and visualize model output Budget restrictions limit software agencies can purchase Data summaries and visuals should be consistent across many alternatives Complicated data processing done by hand may lead to mistakes

Software reviewed Sqlite R Microsoft Excel and Access SAS ESRI ArcGIS Commercial Transportation Software Higher Programming Languages

Oregon Statewide Model Data processing heavy lifting done by sqlite Visuals created by R

Oregon Statewide Model

Columbia River Crossing DEIS

Conclusions Open source software can process data quickly and create very high quality visuals Saves money Learning curve for staff Flexible, can be applied to many projects Utilizing scripts for data processing ensures consistency and can minimize mistakes