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a reminder for those who want to participate in our community measurement day tomorrow ;). As usual I am bad with deadlines in this side project so the new website and the report aren't ready yet in the quality I want. - but I'll put a few previews in the thread.

Aurel Wünsch@aurel.indoorco2map.com

It’s been quite a while since I posted about indoorco2map.com here, but I’ve not been sleeping. 1) new website properly explaining the project will be put online on october 9th 2) a report going in depth into the data collected so far will also be released on the same day (one chart as teaser here)

One of the reason for that is that I got annoyed a bit myself with the rather long time the app needs to be ready with connecting to the sensor so I spent quite a bit unplanned time on speeding this up. Right now it's in internal beta with a few testers.

Now to some of the previews. First the comparison of CO2-levels for different german super market chains in regards to the type of the building they are in. Either the typical standalone building, being part of a shopping mall or part of a building with a street side entrance.

Supermarkets in shopping malls have generally lower CO2-levels than the other categories - less so for chains which lower ones everywhere obviously. One reason for that is probably that most shopping malls have shared ventilation and clothing and store shops demand high ventilation for odour reasons

This one is more of a methodology slide showing what kinds of issues can be part of a measurement and should be dealt with in a serious data analysis.

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I've seen similar patterns as the measurement to the right (maybe not as extreme) in my measurements when taking the sensor from a well-ventilated area in a cafe or shop to the toilets, which often have shockingly bad ventilation.

Finally a slide about the measurements in different types of public transit. I am not surprised nowadays anymore as I've seen the data for a long time, but I initially expected it all to be higher. That trains - which open doors less often than city busses or trams - have higher values makes sense.