kompootor t1_jatqqr3 wrote on March 4, 2023 at 12:22 AM

Reply to comment by has14952 in Mean annual temperature in Trentino-Alto Adige (1981-2016) [OC] by has14952

Very very cool.

Do you think there's be a good way to also convey altitude proper (or something else that may be interesting like humidity or precipitation) on the same graph without completely ruining the look?

I get that this was just a fun thing to print out for this sub, and everyone appreciates it including me -- this is as much to pick on everyone here as much as you, and is to keep in mind for future posts and anything you want people to notice. The source says the dataset is CC-BY, and that means attribution must be made on derivative works. Obviously nobody will hunt you down, but it's still important, especially for a visualization this cool. So that idiots online don't endlessly reproduce this image without attribution (which is common on Reddit), you'll want to include text of this sort in the image:

Name/organization/site/URL, to assign author credit (optional)
Original publication linkback of visualization (e.g., this reddit thread -- optional)
Your copyright/copyleft (such as CC-BY-SA-4.0, since the original dataset is not copyrighted and not share-alike.
Date or year of visualization creation
For good graph practice in general: Date or date range of data collected; and you should put the title text on the graph, and also label the x- and y- axes as longitude and latitude.
Primary citation: You can do "Authors, "Title" (Date)" or just "10.5194/essd-13-2801-2021" or whatever, as long as it's attributed.

has14952 OP t1_jattzyx wrote on March 4, 2023 at 12:47 AM

Thanks for all the helpful information about the right way to cite images like this. Will keep it in mind for the future for sure.

For the other variables, I think it might be possible to try overlaying this in someway on an orographic map. Might be an interesting idea. For what it's worth you can still get a general feel for the elevation based on the readings. Since this is largely a mountainous area, the higher temperature areas on the map are the valleys and in between you have lower values wherever we have mountains.

kompootor t1_jaw34x2 wrote on March 4, 2023 at 3:02 PM

Yeah, maybe a greyscale topographical overlay or something. Obviously temperature, humidity and/or precipitation, and elevation (and also wind if you parameterize it right I guess) all correlate highly in the Alps, which is why it would be cool to see a visualization that could bring out areas in which they don't, should those areas exist. If those areas don't exist in any meaningful way, then there's no point I suppose.