Please see: lanselin.github.io/introbook_vol1/spatial-data.html#tabularfiles

Thanks for the lecture. One doubt. I am new to GeoDa. How to merge the shape file with data from another table?

Absolutely brilliant lectures. Thank you so much!!

Thank you very much for sharing!

El estado de Oaxaca 😊

Spatial weights start at 52:34

How to use lag model in temporal autocorrelation. I need explanation

Thanks

Thank you so much. I just followed your playlist🤗

Beautiful lecture

Fantastic! Thanks. Q: How could one join two shp files to, for instance, visually inspect changes in census tracts over the years?

Normalization is always a key for the true insights.

Professor Anselin, thank you so much for developing these methods, instruments and software on Spatial Data Science!

How can I get codes and pdf

Thanks Professor for your valuable lecture and great knowledge sharing.

thank you. that was helpful for considering to writing my graduation thesis of its analysis.

such a shame about the audio, I hope they record this again in the future

Thanks

Great purely explained!

You need to know that you are helping people. You just do your karm without expecting anything in return. God will help you

you are godsent

Uchicago - which department?

This is really valuable and informative, thank you!

Great lecture.

Thank you, especially the visualized part brought clarity to this concept!

Nice

Best lecture. Thank you for sharing your knowledge.

👍

ThankYou!

ThankYou!!

ThankYou!

ThankYou!

ThankYou😍

Superb! Thanks! Hope I will go through series!!!

Nice! thanks

This lecture is amazing. Thank you Professor Anselin

Amazing lecture

Hello, Thanks for the great insights. Is there any way that I can have any format of slides, please? Moreover, is this course published anywhere with a certificate or not?

The audio drops quite frequently. Please resolve that

great course for someone took intro to gia last quarter!

4.09, it's dot product or cross product? why cross product can be used for similarity measure??

thanks

Thank you so much for these lectures! Huge fan!

Hello, thank you si much for this video. I have a question: What does it mean the MI/DF factor in the OLS with diagnostics results in the program Geoda?

Loved your presentation..: very clear. Thank you!

such a great explanation SIR

Great video! Would you say the natural breaks is favourable for the purpose of mapping NY rent prices? Given that it solves the heterogeneity problem and groups together outliers/potential errors, it seems to have strengths the other two classifications don't

Great lecture. Thank you! However... there are some issue with the audio or it is just me? Anyway, thanks again for sharing!

Please add this to the playlist.

Hi Prof., Week 4b is not in the playlist. It is missing from the playlist. I would appreciate if it can be added. I felt the gap in this part. Thanks a lot.