Spatial Correlation (Moran's I) and Contiguity

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We explore Contiguity (or Neighbor Matrices) and Spatial Correlation using ans Excel file-- so we can change the values of the hypothetical data and see how it impacts the spatial correlation.
Download File: drive.google.com/file/d/0B3-F...
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Опубликовано:

16 июл 2024

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Комментарии : 51

@leoschmitz 3 года назад

Great video! I learned more with this 25 minute video than with some papers out there.

@BurkeyAcademy 3 года назад

Glad you liked it!

@DeependraDhakalGorkhali 6 лет назад

Thank you very much for a very thorough explanation. It truly reinforces the understanding.

@anachromancer7005 2 года назад

You are a great teacher! Thank you for sharing your knowledge, this was very useful to me.

@amiria8501 9 месяцев назад

This is a master peace of explaining something. You should be proud of it Burkey!

@BurkeyAcademy 9 месяцев назад

Thanks! I do like this one.

@sirvachjumani7215 2 года назад

Great effort, detailed explanation also a most straightforward way to understand the Morans' I High High and Low Low relation. Thanks for the excel sheet

@waliuzzaman9255 7 лет назад

It was awesome bro... clarified a lots of confusion that I had! :)

@gregorymurad 6 лет назад

Such a good explanation. I wish all videos were as clear as this one. Thank you!

@BurkeyAcademy 6 лет назад

Thanks for the feedback! This was a hard one, but fun!

@vinaykumardaivajna5260 9 месяцев назад

That was so good . I was tired of searching on the internet. thank you for this masterpiece.

@cutestbear3327 Год назад

Mr. Burkey Academy, you are a lifesaver 🙏🙏🙏

@nimadehegardsukmawati9736 4 года назад

It becomes easy to understand with ur explanation, need more videos on spatial stat 😍

@adhamenaya 2 года назад

This is so awesome. I can't thank you enough

@johnriano1468 6 лет назад

Thanks for this video!

@mangopine3460 6 лет назад

Great way of explaining it!

@florperaza1583 7 месяцев назад

Huge thanks! Really, this is what I was looking for. I really needed to see an actual example.

@ewanharris5433 4 года назад

Excellent - A must watch

@kapussa 6 лет назад

Thank you

@johsenfirgunsen8571 4 года назад

You're amazing! thanks

@Caniballe 3 года назад

Muito obrigado!

@lichengzhang5157 4 года назад

讲得很清楚，谢谢

@kevinsullivan8128 3 года назад

Wow! Ive been struggling to understand Row Standardization this whole semester. After watching this video it finally clicked!

@BurkeyAcademy 3 года назад

Very cool! Glad you get it!

@karthiksalian5715 4 года назад

Thank you so much

@fridolingaming3877 4 месяца назад

The video was good and give me further understanding about Moran's I but can you make a video where Spatial Autocorrelation using Distance-Based Weights?

@paulocovele6091 4 года назад

Thank you for the course, it is helping me to understand Spatial econometrics, and I will use the knowledge in my thesis. I am having some difficult to fallow the excel the calculation of the matriz of all the possible combination (Xi-xbar)(xj-xbar).

@ewanharris5433 3 года назад

Give a shout if you still need assistance

@francoislafont7818 9 месяцев назад

Hello, thank you for this great series of video. Could you please explain why the Expected value of Moran's I under no spatial correlation is (-1)/(N-1) ? This is not obvious for me.

@rhauthenticvideos123 3 года назад

Can anyone tell me when we use normality (variance) of moran's I or when randomisation variance of moran's I,

@decarlobrown1347 7 лет назад

Are there any restrictions on using Moran's I. I thought there was a minimum on the number of cells needed? Also when you are going over the Moran's I formula is x-bar the average of the entire dataset or just the associated row for the cell? Thank you!

@BurkeyAcademy 7 лет назад

I have not heard of a minimum number of cells- if you find a source on that, please let me know! Certainly, below some very small number, it would be utterly nonsensical to run... Xbar is the grand mean of all observations- sorry if I wasn't clear enough on that.

@ProfBoggs 3 года назад

I have never heard of a minimum number of cells (i.e., polygons or areas) needed. I suppose the minimum number would be two, though I'm not sure if a two-cell map would tell us much...

@shamuhammethajyyev3336 2 года назад

Thank you for the video; At 13:40 you said that values of each element should be same in order to sum up to 1, but in some rows there are some different numbers like 0,125 and 0,13. waiting for ur explanation, thanks

@BurkeyAcademy 2 года назад

The only difference might be the width of the column rounding .125 to .13

@azzeddinereghais8943 7 месяцев назад

Thank you, professor, for this wonderful explanation Is this what is called bivariate moran's ?

@BurkeyAcademy 7 месяцев назад

No, this is how one variable correlates with itself in neighboring regions (univariate). I am not familiar with bivariate spatial correlation; at that point I'd be looking at spatial regression.

@azzeddinereghais8943 7 месяцев назад

Many thanks Professor@@BurkeyAcademy

@yousif533 6 лет назад

what is the difference between the spatial autocorrelation and spatial correlation?

@BurkeyAcademy 6 лет назад

Nothing that I can think of. Normally correlation is between TWO variables. The prefix auto- means "with itself". In time series autocorrelation means the correlation of one variable with itself over time. With spatial, it means correlation of a variable with itself in neighboring areas. Although it would be possible to spatially correlate two variables, I don't think it would make sense to call this a spatial correlation. Make sense?

@yousif533 4 года назад

Can you please calculate the spatial correlation in R?

@BurkeyAcademy 4 года назад

Yes, please check out my list of videos at spatial.burkeyacademy.com so you don't miss anything! The video you want is here, about 16 minutes in: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-_bnorgXbSG4.html

@JoeyMCY 4 года назад

-why is (xi - xbar)(xj - xbar) equal to (xi - xbar) square? wasn't that the j is neighbor with a different value?- Nice video btw, the excel helped!! updated: my own fault!! his video is terrific!!

@BurkeyAcademy 4 года назад

Can you tell me at what time I said that these are equal? I shouldn't have, and can't find where I did. Thanks!

@JoeyMCY 4 года назад

@@BurkeyAcademy-not in the video but in the excel. Between the (xi - xbar)(xj - xbar) and (xi - xbar) square matrix, theres a box saying matrix below and above are identical.-

@JoeyMCY 4 года назад

NVM i got it, just realised how to read the formular

@BurkeyAcademy 4 года назад

OK, glad you liked it! If there is anything I can make clearer, please let me know. Cheers!

@ewanharris5433 3 года назад

It's an excellent introduction and it's well presented and an excellent introduction to GeoDa. Congratulations on an excellent training methodology. It's impressive. I recommend watching it for an aspirant spatial analyst, bear in mind there is also HIgher Order Contiguities as well as Distance band, and Spatial Weights as Distance Function, K Nearest Neighbors, etc etc Lastly, perhaps a need to mention the difference between Local and Global Spatial Autocorrelation and Gearys C

@gyrozeppeli1535 4 года назад

The file doesn't exist anymore. Could you please upload a new one?

@gyrozeppeli1535 4 года назад

No worries, just found it on your web. Many thanks!

@BurkeyAcademy 4 года назад

Thank you for letting me know! Google has been messing up my Google Drive links! I fixed the link in the video, but here it is (please let me know if you have any other problems!): drive.google.com/file/d/0B3-F8BTZSbH9NEVJM2c1Tkg2SjQ/view