All package maintainers please look at the draft release notes.
We will also add a "highlights" section that should report the key enhancements from each package that appear in this meta-release. For examples see the 2.0 release notes.
Once all devs have contributed, I will move this over to the release page.
Ok, @sjsrey! I looked at the draft and seems ok to me. Regarding the 2.0 "highlights" release notes, I sent you a DM through slack with what I'd like to add to it. Since you're the one who's going to centralize this, I think I'll let you to start a new release in pysal/pysal and will not add my notes there. Please let me know if this works for you.
I added:
All looks good from a spaghetti standpoint.
The ESDA pypi release/github release was made on July 1, but I don't see these two contributions in this metarelease source?
esda. This test statistic measures the sensitivity of statistical results to re-aggregation. Contributed by @JuancaDuque, the statistic is defined in this PLOS paperesda. These statistics characterize the structure of local autocorrelation using Pearson'r r. The statistic is defined in Lee (2001)Maybe I'm confused about how this gets built, but I thought the github release would grab that?
Ah! sorry, they're here:
Looks great to me! Thanks! Shall I add this regarding mgwr to the highlights:
mgwr package includes memory optimization and parallelization. This will allow GWR and Multi-scale GWR model to be calibrated faster and on much larger datasets.I've added a couple of very minor lines. I've also added a line on the "major improvements" on the notebooks project, mostly to make it more visible as I imagine most people will stop reading after that section. Happy to remove it if you think this is not strictly part of the release (technically it isn't).
@Ziqi-Li Can you also add the API changes to the kernel functions in mgwr? Thanks!
looks really good from the splot side, thank you for taking this on!
@weikang9009 Sounds good, just added.
Should we close this issue?