[Oscamo]

Hm. Thanks @srgdamiano, thats one way of doing it. The use case I envisage is pretty simple. Lets take a single technician with a portable water quality monitor, like a YSI or something. He/She drops it into a river at Position A, records data. Then turns device off, moves to Position B, records data etc etc. Once “home” uploads the data to a GIS platform. Next week, repeat the process. Of course it could be a different technician with a different device but in the same location.

I spoke with @ensign today on the phone and will keep the conversation going, we are onto something!

[Oscamo]

Thanks @srgdamiano, this is a great way to display the data and I think my application is simpler than that. In principle, I want to create “spot” checks of sampled data similar to what has been done for decades with water quality monitors from YSI, Horiba, OTT etc but map them on a GIS system.
This means, the _device_ moves around (as it is owned by the technician) but the _data_ has a GPS tag that locks it into place. Compared to stationary sensors this complicates the analytics of course as Location 1 is not necessarily connected to Location 2 by the same waterway. When the technician returns to the same spot later, the GPS coordinates match but of course, now we have a different time-stamp: and thats where we have data continuity.

I am probably overlooking something very basic but it seems to be a very straight-forward way of plotting water environmental quality data.

[Oscamo]

Thanks @ensign and @srgdamiano, for your reply. Scott, I saw a write up of your floating buoy some time ago and really wanted to find out what happened to it. That was cool stuff!

My project is a little lengthy to explain but I would love your input – I’ll call next week if that is ok with you. Can you pm me a good time/number to call?

Many thanks!

[Oscamo]

Thanks @Sara,
I was aware of the floating sensors, I didn’t know they connected to a GIS and the company listed doesn’t seem to exist anymore. That was a very cool project though, do you have more information?

The trajectory approach you explain above appears indeed a little “cludgey”, I appreciate your explanation but was wondering why this use case is so unusual, I had conversations with another GIS company about this who said the same thing. Site-centric is of course useful if the sensor remains immobile but many air quality sensors now are mounted on cars/busses/bikes and hence move. Am I the only one who would like that feature?

Thanks again, really appreciate what you guys do!

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