EnviroSensing Monthly telecons
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Telecons on the fourth Tuesday of every month at 4:00pm ET. Click on 'join'
Next telecon October 28, 2014, 4:00 PM EDT, Wade Sheldon: GCE Matlab data toolbox
November 25, 2014, 4:00 PM EDT. Jordan Read will introduce the R package SensorQC
Notes from past telecons
9/23/2014
- Fox Peterson (Andrews LTER) reported on QA/QC methods they are applying to historic climate records (~13 million data points for each of 6 sites).
The challenge was that most automated approaches still produced too many flagged data that needed to be manually checked. Multiple statistical methods were tested based on long-term historical data. The method they selected was to use a moving window of data from the same hour over 30 days and test for 4 standard deviations in that window; E.g., use all data for 1 pm for days 30 - 60 of the year, compute four standard deviations, and set the range for the midpoint day (45) at the 1pm hour to that range.
- Josh Cole reported on his system, which is in development and he will be able to share scripts with the group.
- Brief discussion of displaying results using web tools.
- Great Basin site discussed the variability in their data, which "has no normal"-- how could we perform qa/qc based on statistics and ranges in this case?
- Discussion of bringing Wade Sheldon to call next time / usefulness of the toolbox for data managers
- Discussion of using Pandas package- does anyone have experience, can we get them on?
- Discussion of the trade off between large data stores, computational strength, and power. Good solutions?
- ESIP email had some student opportunities which may be of interest
- Overall, it was considered helpful if people were willing to share scripts. Discussion of a GIT repository for the group, or possibly just use the Wiki.
8/26/2014
Suggestions for future discussion topics
- Citizen Science contributions to environmental monitoring
- 'open' sensors - non-commercial sensors made in-house, technology, use, best practices
- Latest sensor technologies
- Efficient data processing approaches
- Online data visualizations
- New collaborations to develop new algorithms for better data processing
- Sensor system management tools (communicating field events and associating them with data)
