Comments (3)
Curious as to the archive directory structure - I pulled data from ~500 sensors and saved the data and meta for each as csv files (/project/deviceDeploymentID_data.csv
, /project/deviceDeploymentID_meta.csv
), and now can't figure out how to read them back in to a pa_timeseries object.
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@jeanmico By creating csv files you have basically left the world view of the AirSensor package. It isn't currently straightforward to reenter that world view and create pat_timeseries objects.
As you can see from this GitHub issue, we are working on some documentation to demonstrate how to create your own archive of 'pas' and 'pat' objects as compressed binary files -- ".rda" files.
After @AstridSanna finishes this document, we will be curious to get your feedback.
from airsensor.
@jeanmico We have just released a set of tutorials demonstrating how to create a local data archive:
https://working-with-data.mazamascience.com/2021/04/02/methow-valley-air-quality/
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Related Issues (20)
- 404 Error when creating PAT HOT 1
- Working with South Coast Data article
- minor documentation fixes
- pat_createNew() error message improvement
- MVCAA Tutorials
- pat_multiPlot() - error 404 HOT 1
- pat_externalFit() bug
- PurpleAirSoH_dailyABtTest() -- is it really useful?
- sensor_pollutionRose() -- scale bar bins and colors do not match AQI
- pat_monitorComparison() very slow - had to abort R session
- App not starting HOT 1
- pat_monitorComparison() function and pwfsl_closestMonitorID HOT 1
- Incorrect documentation for pas_load HOT 1
- The API this package uses is slated to be retired
- AirSensor installation error - Linux HOT 1
- Missing "RData" file for 2022 in the AirFire Monitoring Database HOT 2
- Web service error 500 HOT 10
- pas data only available until May 27, 2022 HOT 1
- updated pas data access
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