Closed rugk closed 5 years ago
Also re-generated the list of missing/not-included OSM tags. (AFAIK that was the meaning of that data :laughing:)
Feel free to create a PR with the updated data!
You first have to choose what date to use? Area, I guess? And 2016+2017 or only 2017?
2016+2017 could give a better average of the data, in case e.g. 2017 behaved differently than 2016.
I could likely also perfectly well choose an average of three years or so.
Area, yes. I have no opinion on 2016/2017
Am 6. Januar 2019 11:44:28 MEZ schrieb rugk notifications@github.com:
You first have to choose what date to use? Area, I guess? And 2016+2017 or only 2017?
2016+2017 could give a better average of the data, in case e.g. 2017 behaved differently than 2016.
I could likely also perfectly well choose an average of three years or so.
Good news, here, @westnordost, The UN does have new data from up to 2017… :smile:
So I've put them through my parser, also with two years averaged (2016+2017), and looked through the data a little and it seems to be all fine. (I just had to add
Eswatini
to the iso3166, which was previously referred to as "Swaziland", but well… that does not matter. :smile:So to me, it seems fine. Choose whatever resulting dataset you want. :smile: