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  1. Will Deakin @wnd ·

    @martinfleis for what it's worth I have updated all of the modules according to your recipe and have a backwardly incompatible but Shapely 2.0 "compliant" version on GitHub.

    This is based on my now-closed pull-request. It passes pytest validation and I'll use this in the meantime.

    (With this and the issue at Christmas, which is fixed, I seemed to be inadvertently surfing the bleeding edge somewhat).

    Anyway thanks again for all these toolsets and your help today.

    #pysal #momepy #pyogrio
  2. Will Deakin @wnd ·

    Today's update is and may give unexpected results due to and 2.0 compatibility.

    The problem is here github.com/pysal/momepy/issues.

    Based on the PR comments #473 github.com/pysal/momepy/pull/4, it is a Shapely 2.0 compatibility issue.

    Based on guidance here github.com/pysal/momepy/pull/4 and noting a GeoPandas discussion here github.com/geopandas/geopandas I have a workaround and the issue will be fixed.

    Thanks to @martinfleis for his work on this and his timely help and advice.

    #momepy #pysal #pygeos #shapely
  3. Will Deakin @wnd ·

    For those interested in such things, I'm going to look at a patch for .0 compatibility

    #pysal #momepy #shapely2
  4. Will Deakin @wnd ·

    For those who are interested in such things, based on the ONS 2021 Census and the National Records Scotland mid-year 2021 population estimates, the population centre of Great Britain is here.

    This was based on calculating a mid-line based on cumulative population totals using Topler projection of the census data onto100m width slices north-south and east-west. Using @geopandas, and .

    #pysal #python
  5. Tuomas Väisänen 📼🧟‍♂️ @[email protected] ·

    The more I read, study, and do research, the more I feel like spatial statistics should become a major focus for me.

    Luckily there are plenty of awesome online resources available for it completely free. #PySAL docs, Geographic Data Science book, #GeoDA docs.

    But there's this one book coming up. Spatial Analysis in the Social Sciences. It's apparently a 560-page chonker but hoooooooo boy, gotta have that!

    #geoda #pysal