visualizing time-lapse data

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Veronika R.

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Mar 8, 2019, 6:13:17 AM3/8/19
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Hi everyone,


I want to visualize time-lapse geophysical data, and I wonder what is the best way to set it up. Currently I have troubles how to build my data.


A measurement is characterized by using a specific source-receiver combination (in a 3D setup) and values measured for every time-step. So I end up with


- sensor positions defined by ID, x,y,z (but one could easily make ab x_pseudosensor, y_peudosensor, ID)

- a list of measurement configurations ID_conifg (here we can also make up a pseudocoordinates, x_pseudo, y_pseudo)

- and for these ID_configs several measured values like rho, V, I, .... for each time-step



The plots I am interested in are


- a scatterplot of sensor positions (with some pseudo coordinates) to easily select sensor subsets

--> that should show me all ID_config where the selected sensors are used in other plots


-->plot one time-slice of measured value: scatter plot with x_pseudo, y_pseudo and values --> this would give me to select subsets of ID_conifgs


-->(for these selected ID_configs) I want to see (several) time curves of the measured value (and especially with that I have problems)


Thankful for any ideas!

Veronika

Thomas Robitaille

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Jun 1, 2020, 6:43:58 AM6/1/20
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Hi Veronika,

I apologise for not replying sooner to your query. In general, if you have multiple datasets that share a unique ID key and you want to have selections propagate by making use of that ID key, the 'normal' kind of linking in glue won't work as you expect - that linking is more intended for continuous variables and mapping ranges of values between different attributes.

The kind of linking you need here can only be achieved for now through the Python interface using the join_on_key method:


so in practice you might want to set up a script similar to:


and in there you can load in your data and set up the linking before starting up the application.

Let me know if you run into any issues with this!

Cheers,
Tom


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