Got featured in #RWeekly under R in Academia! 🗞️

In the article, I discuss the limitations of standard spatial models in capturing a structural network for archipelagic nations like the #Philippines, and how #ArchipelagoEngine (now on #CRAN) addresses this gap.

Huge thanks to the @rweekly team, especially Jon Calder for the review and Jonathan Carroll for merging my last-minute revision!

🔗 Check it out @ https://rweekly.org/#RinAcademia

#RStats #SpatialEconometrics #OpenScience #AcademicMastodon

I enjoy learning and teaching about spatial statistics. Like unhealthy-level enjoy. It comes up once a year on one of our #geoinformatics courses and I always realize something new and exciting when I am updating the slides. Tomorrow's lecture is gonna be lit!

What's your favorite resource for brushing up on #SpatialStatistics or #SpatialEconometrics? I like https://geographicdata.science/, but was wondering what else is out there. I know @rsfrankl got a nice new book digging into this as well...

Welcome!

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

Geographic Data Science with PySAL and the PyData Stack