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?