GEOG 3020 Lecture 23-9 Spatial Autocorrelation

[@LARPize]

I liked how you went through the whole formula and made clear what was happening in every step of the calculation. It was very helpful.
Thank you!

[@ProfBoggs]

Glad to see I'm not the only person who still uses Ebdon. I love how his examples build on each other using fairly simple datasets.

[@yatshunlee]

Thank you so much for your detailed tutorial. Really learnt a lot!

[@simplystem23]

Good explanation on this topic so far !

[@beepbop378]

Thank you for explanation. It was very helpful and easy to understand even for beginner like me. I came with zero and now it is half filled up.

[@tjdewitt]

Thanks so much. That was very nice. Note that the figure in the end is of summed x data per neighborhood, not the average which differs because each plot has different neighbor numbers. The corrected plot has slope -0.2 and R² = 072.

[@LARPize]

Is it because the Weight matrix was not standardised by row?

[@TheSHOEB7]

Thanks for such elaborated discription.

[@tadiwanashezhuwawo3901]

Very helpful Thank yu

[@reyrivera2653]

Excellent example. Thank you

[@ladan1360]

Thanks from Iran

[@justicereality8961]

This was way very helpful. Thanks for the video.

[@mayormac]

gracias por el ejemplo, saludos desde colombia

[@Александр-ы4л3ю]

Thanks very much!!

[@giovannipaci5142]

thanks Great Video!!!

[@sholagberutaofeeq4393]

Good presentation. . . .

[@MohammedHAzeez]

thinX

[@TheBarOst]

Why can't my professor explain like this? Thank you

[@isaiasmorales501]

Thanks, very good!