|20 Nov 2020|
|Mat Sadowski||I'm wondering if anyone would have some pointers for me. I'm trying to use Verde on a very small scale project compared to the data you are processing in the tutorials (surveying lakes/ponds). Scipygridder seemed to have quite nicely interpolated the points without going into the free space (https://www.fatiando.org/verde/latest/gallery/scipygridder.html). When I tried the same approach on my data I have the interpolation is quite far away from the surveyed data (see the screenshot). Does anybody know if I can easily tune this? Is this an issue of scale?||18:00:31|
In reply to@_slack_fatiando_U01E7LSJCHH:matrix.orgExactly. We are missing some options from GMT’s
In reply to@_slack_fatiando_U01F18B993Q:matrix.orgScipy applies something like
In reply to@_slack_fatiando_UMSRSPEMA:matrix.orgOr you could also apply
|Mat Sadowski|| |
In reply to@_slack_fatiando_UMSRSPEMA:matrix.orgthanks! I will give this a go 🙂
|21 Nov 2020|
|Federico Esteban|| |
In reply to@_slack_fatiando_UMSRSPEMA:matrix.orgDo you have any material where I can undestarnd the idea behind Green function without many formulas? I am not a (geo)physicists so it is hard for me to understand the idea from the fornulas.
|leouieda||santisoler https://santisoler.github.io/talks/egu2020.html it’s a similar idea but for gravity and magnetics||09:23:58|
|2 Dec 2020|
|Stavros joined the room.||21:35:17|
|Stavros changed their profile picture.||21:35:18|
|7 Dec 2020|
|Federico Esteban||Hi. I am trying to understand the remove-compute-restore method that I see in verde Tutorial (in Transform 2020). Thanks in advance.||18:38:09|
|8 Dec 2020|
In reply to@_slack_fatiando_U01E7LSJCHH:matrix.orgFederico Esteban anything in particular?
|Federico Esteban|| |
In reply to@_slack_fatiando_UMSRSPEMA:matrix.orgJust the idea used in verde. With some graph/animations would be ideal.
|Richard Scott||Here's a possible Verde public dataset http://auspass.edu.au/research/AusMoho.html||23:48:46|
|9 Dec 2020|
In reply to@_slack_fatiando_U0156QCM6AH:matrix.orgAwesome! Thanks for sharing 👍 That’ll be a good one for testing the new spherical interpolations a student is currently implementing
|4 Jan 2021|
|Lorenzo|| Hi all, i wonder if there is a way to ||15:06:39|
|Craig Miller|| |
In reply to@_slack_fatiando_UT0BDHKPE:matrix.orgPerhaps run through pandas groupby then blockreduxe?
|5 Jan 2021|
In reply to@_slack_fatiando_UMSRSPEMA:matrix.orgMany thanks, I will try these options and let know
In reply to@_slack_fatiando_UT0BDHKPE:matrix.orgOut of curiosity, what kind of reduction do you want to do on categorical data?
In reply to@_slack_fatiando_UT0BDHKPE:matrix.orgRight, that seems reasonable. What you can do is pass in a custom function to BlockReduce that preserves the categories the way you want it to. BlockReduce takes care of assigning coordinates to blocks and passing in the data values that fall on each block to your function.
|24 Feb 2021|
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|30 Apr 2021|
|Miguel Alejandro Alzate Gutierrez joined the room.||17:50:34|