After a long search, I finally found the explanation I was looking for. You break down complex concepts really well, keep it up, I am sure your channel will grow exponentially.
Thank you for this, man. I somehow ended up in an advanced geostatistics class as a complete newbie and so far I've just been following the instructions without even understanding what's going on. You present these matters in a way that is super easy to follow, irregardless of the persons background. :)
Thank you for such a clear and concise explanation of kriging! I have been struggling a bit to understand the 'why' of kriging and how to interpret my data- following labs like a cookbook and just 'getting through them' will not help me with a GIS career, so I appreciate you so much!! Subscribed! I will look for more videos, thank you again!!!
Awesome video. This guy has all the potential to become a great teacher. This would be nice if you can make a video on different types of kriging models, and how to implement them on a GIS framework :)
WOW EVERYTHING IS MAKING SO MUCH MORE SENSE NOW!!! Thank you so much, your videos are saving me rn. I would love to see more spatial statistics content if you ever were thinking about it!! Wow though, thank you a thousand times.
Thank you very much for this video! :) It's the best explanation I've seen so far. I'd like to hear more about the math behind the Kriging model. It would be also interesting to hear more about other applications, e.g. engineering application of the surrogate (Kriging) model.
I started my research reading recently and was feeling struggled with understanding the definition and formula. This video gives me a brief and clear intro to Spatial Stat. It helps me a lot! LOL
Very well done! When you say, this formula, what it means in English ..., this is exactly the missing part from so many people trying to pass the same message, this is why most of them fail I think. Bringing math to everyone's real life. This is how we recognise Masters as well. Big thank you.
Thank you for this video. It’s very clear. Gamma of h is more precisely the expected value of the squared differences between all pairs of point a distance h apart. Although to discuss the intuition behind it you can consider a single pair of points as you have done.
Wow this video is a lifesaver.. Thank you so much.. This is what you call a crystal clear explanation. Please go ahead with the mathematical concepts behind this as well. Thank you very much again.
This is a really good video. I was able to understand and I'm not even a statistics or mathematics student. I'm studying Geographic Information Systems and Kriging is one of the most common Spatial Interpolation methods.
man, that was the most indispensable video lacking on TH-cam in the area of data science. wish the younger me were able to watch this video instead of sifting through the papers about kriging. thanks aplenty!
Man your explanation is so clear :D you did a great job, hopefully you can make another video about krigging model like ordinary, simple, etc.. you really inspiring me :)
Excellent explanation, thank you! This is how all mathematical topics should be explained in my opinion. Bad communication in math is like bad communication in software development, sure you can write all the thousands of lines of code in one line, the compiler will understand it! But this is not optimal if you're trying to convey an idea to others.
Good job. Would like to see more detailed mathematics behind. This seems like combo of multiple linear regression fitting with KNN regression algo. Not in details but in approach and logic behind algo. I definately need more maths to fully grasp this. Thanks anyway. Keep up a good work.
Hi Ritvik I loved this video and it really saved me a lot of time, I literally could not have found a better explanation. You mention in this video that you can make a separate video for the mathematical part, can you please do that or let me know if you have already made a video. Thanks!
Really clear video about the topic, thank you very much. I would love to see video explanation of the math being the kriging model, if it is explained as well as this video. Thank you!
Great video, easy to digest, and as an on-going bachelor in earth science, i really recommend this for you whom have absolutely zero idea about kriging model (imma recommend this too for my colleagues lol). However, one question. At timemark 9:56 - 10:10, the matrice equation includes matrice b which has the semi-variogram calculation between Xnew and Xi. The calculation itself supposed to knew Ynew, right (as showed in the video)? But Ynew is our main objective, which is unknown...bit entangled on this one.
I have exactly the same question. This is why I was going through the comments. Thank you. Perhaps the answer is given in another video. We can still solve the equation, but with 5 + 1 = 6 unknown variables (w1, w2, w3, w4, w5, Ynew) instead of w1, w2, w3, w4, w5.
Great video, thanks. What if you wanted to predict something at the exact location of a measured site - can you borrow strength from near by sites and also get an estimate of uncertainty at that site (rather than just relying on the measurement)?
It's just an AMAZING explanation, I saw the video more than 10 times and that's is one of the best educational video I've ever seen. Question please : How can we know the matrix B while Ynew is unknown ? because B is a matrix of variogram : Gamma(Xnew,Xi) = 1/2(Ynew - Yi)² , and Ynew is unknown.
Goog job. I liked the video since i have been looking for videos in this topic for too long. I hope u can go ahead for the mathematical explanation. I would love it if you could help and make introduction about the Expected Improvements that is used along with kriging model to increase the fidelity of the model. Thanks alot
Thank you very much for your simple and comprehensive explanation. However, I have a question if you would be kind to help me. Can this theory be used for the points lets say to predict a point outside the boundary you have drawn?
![ภาพนี้ก็ฮาเหมือนกันนะเนี้ย #1 SS8 [ พากย์นรก MEME.EXE ] | easy boy](http://i.ytimg.com/vi/Ytc50m91QK8/mqdefault.jpg)
Man, this video explanation is clear as water for me. The quality is good, well done dude :)
Thanks!
Can confirm. I learned more from this video that from a whole (poorly made) lecture series on geostatistics.
damn so good explanation. This helped me a lot. Better than my professor...
After a long search, I finally found the explanation I was looking for. You break down complex concepts really well, keep it up, I am sure your channel will grow exponentially.
After a long search, I finally found the explanation I was looking for. You break down complex concepts really well thanks
Thank you for this, man. I somehow ended up in an advanced geostatistics class as a complete newbie and so far I've just been following the instructions without even understanding what's going on. You present these matters in a way that is super easy to follow, irregardless of the persons background. :)
Thank you for such a clear and concise explanation of kriging! I have been struggling a bit to understand the 'why' of kriging and how to interpret my data- following labs like a cookbook and just 'getting through them' will not help me with a GIS career, so I appreciate you so much!! Subscribed! I will look for more videos, thank you again!!!
Man , such a pro! Love the way you explain crucial concepts on spatial statistics so easy, greetings from colombia
Awesome video. This guy has all the potential to become a great teacher.
This would be nice if you can make a video on different types of kriging models, and how to implement them on a GIS framework :)
Dude. This video is frigging awesome. Very well explained, crystal clear!
One of the best educational videos ive ever seen, clear, concise and well structured! Congrats
Glad you liked it!
This is an amazing explanation of the Kriging Model. Its super impressive how you do this in one cut!
Thank you very much!
Awesome video! Clearly explained. Big shout out from Brazil.
Currently studying geostatistics in an advanced GIS class just a massive shout out that this is an incredibly good explanation!
I would like to know the mathematics involved in Kriging. Please make a dedicated video if you can.
Me too! XD
WOW EVERYTHING IS MAKING SO MUCH MORE SENSE NOW!!! Thank you so much, your videos are saving me rn. I would love to see more spatial statistics content if you ever were thinking about it!! Wow though, thank you a thousand times.
I'm so glad!
Super helpful! Thank you, it made sense all the way and witthout watering down any important notes on the Kriging Model 👍
Thank you very much for this video! :) It's the best explanation I've seen so far. I'd like to hear more about the math behind the Kriging model. It would be also interesting to hear more about other applications, e.g. engineering application of the surrogate (Kriging) model.
Wonderful explanation. Great use of visuals and introduction of terms with symbols.Thank you!
I started my research reading recently and was feeling struggled with understanding the definition and formula. This video gives me a brief and clear intro to Spatial Stat. It helps me a lot! LOL
Thank you for not making this a "1-hour" ordeal.. I enjoyed this session to the latter..thank you again
Very well done!
When you say, this formula, what it means in English ...,
this is exactly the missing part from so many people trying to pass the same message, this is why most of them fail I think.
Bringing math to everyone's real life.
This is how we recognise Masters as well.
Big thank you.
I can't explain how amazing this video is...!!!
the best explanation of Kriging model i found so far!! thanks man!
Glad it helped!
Thank you for this video. It’s very clear. Gamma of h is more precisely the expected value of the squared differences between all pairs of point a distance h apart. Although to discuss the intuition behind it you can consider a single pair of points as you have done.
Wow this video is a lifesaver.. Thank you so much.. This is what you call a crystal clear explanation. Please go ahead with the mathematical concepts behind this as well. Thank you very much again.
This is great explanation. Please teach the mathematics involved in kriging.
oh man, this is a great explanation of kriging
This was explained really well. Good job!
This is such a good explanation, thank you!
This is a really good video. I was able to understand and I'm not even a statistics or mathematics student. I'm studying Geographic Information Systems and Kriging is one of the most common Spatial Interpolation methods.
Very well explained man!! Thanks for doing it and hope to see more videos about geostats from you!!
clear and straightforward. Thank you!
Great succinct explanation. Would love more on this subject
Thank you very much!!! I am a Chinese student, your videos help me a lot!
Good and clear illustration of widely used but less understood model
Many thanks for the introduction about the Kriging model. Best! I would love to know more about the math behind the kriging model and variogram.
so elegant, I love this intuition of math！
Excellent video! Thank you so much!
man, that was the most indispensable video lacking on TH-cam in the area of data science. wish the younger me were able to watch this video instead of sifting through the papers about kriging. thanks aplenty!
Glad it was helpful!
Good explanation to dive into the topic. Thank you very much!
Thank you for super good video! Now, I start to understand
Great video, excellent explanation!! Thanks a lot!
Bless your soul, man. Explained better than my prof
Great Explanation. Thankyou. finally found a good explanation.
You explain the concepts better than my uni lecturer... thank you!
Tricky topic, but beatifully explained. Thanks.
Thank you very much for your excellent video !
thank u .. u make it easy to understand how the kriging work 🌹
Great video thanks! I'll be learning from all your videos 😁
thanks for the good and clear explanation , you make it very easy to follow and understand
Impressive. Keep doing things even close to this well and you will become well known among students and researchers.
Clear and easy explanation, thanks a lot!
Man your explanation is so clear :D you did a great job, hopefully you can make another video about krigging model like ordinary, simple, etc.. you really inspiring me :)
Noted!
I wish I could like this video twice! you explained it so well I felt like I just got spoon fed the information
Thank you very much sir for clean and neat explanation.
Thank you soo much for this great and awesome explanation..
Thanks, really helpful, watched from Sudan.
Thanks - great explanation of the variogram!
Thanks!
Awesome work!
This was amazing. Thank you so much
very good explanation. Well done! Thank you
Awesome, many thanks!
Of course!
Your videos are just amazing. You are very good at explaining. Please, if possible include more python videos implementing the methods you teach
what a wonderful way of teaching 👏👏👏.loved it
This comment is really from the heart
keep doing what you are doing
Do more spatial and geostatistics please! I'd like to see the math behind dependence tests.
This video is perfect for me!!!, thank uuuuuuuu !! you saved me from the final!!
Thanku sir,It's really nice explanation about kriging model that is helpful for us
Great explanation! Thanks :)
Great Explanation thanks 🙏🏼
Insanely good thank you so much!
Awesome explanation. So helpful, thank you 🙏🏻
Glad it was helpful!
Never thought about this being used for anything other than mining, but it makes sense that it will work for any spatial estimation
Totally!
Nice work ... would like to see your suggested more detailed delve into the math and krihing variance ...
Very nice video, you really cleared my problem of understanding this concept of kriging/
Thank you very much, the explanation was quite helpful.
I would be keen to see the video with more mathematics that you mention here.
Excellent explanation, thank you! This is how all mathematical topics should be explained in my opinion. Bad communication in math is like bad communication in software development, sure you can write all the thousands of lines of code in one line, the compiler will understand it! But this is not optimal if you're trying to convey an idea to others.
Please upload the video describing the maths behind it! You explanation was very clear, as I am trying to get grip of this topic.
Very clear video. Thank u
Great simple explanation!
great video cleared a lot of doubts. Interested in knowing the mathematics behind it.
Good job. Would like to see more detailed mathematics behind. This seems like combo of multiple linear regression fitting with KNN regression algo. Not in details but in approach and logic behind algo. I definately need more maths to fully grasp this. Thanks anyway. Keep up a good work.
Great and clear explanation! Thanks a lot! =)
crystal clear explanation on the topic. Thanks.
Glad it was helpful!
Really nice video, thank you!
Glad you liked it!
Really great video.
thanks, i was looking for this
I think that we need more geostatistics lessons from you.
Cmon, This is too simple now! Thanks dude
Well explained ❤❤❤ thanks so much
Hi Ritvik I loved this video and it really saved me a lot of time, I literally could not have found a better explanation.
You mention in this video that you can make a separate video for the mathematical part, can you please do that or let me know if you have already made a video. Thanks!
Thanks that was amazing
Really clear video about the topic, thank you very much. I would love to see video explanation of the math being the kriging model, if it is explained as well as this video. Thank you!
Great suggestion!
Great video, easy to digest, and as an on-going bachelor in earth science, i really recommend this for you whom have absolutely zero idea about kriging model (imma recommend this too for my colleagues lol).
However, one question. At timemark 9:56 - 10:10, the matrice equation includes matrice b which has the semi-variogram calculation between Xnew and Xi. The calculation itself supposed to knew Ynew, right (as showed in the video)? But Ynew is our main objective, which is unknown...bit entangled on this one.
I have exactly the same question. This is why I was going through the comments. Thank you.
Perhaps the answer is given in another video.
We can still solve the equation, but with 5 + 1 = 6 unknown variables (w1, w2, w3, w4, w5, Ynew) instead of w1, w2, w3, w4, w5.
Exactly! I have the same remark :) I hope that @ritvikmath can give us an explanation
Thank you very much for this! the maths behind would also be very helpful
Glad it was helpful!
Great video, thanks. What if you wanted to predict something at the exact location of a measured site - can you borrow strength from near by sites and also get an estimate of uncertainty at that site (rather than just relying on the measurement)?
very great explanation of kriging, Thanks man
Glad it was helpful!
It's just an AMAZING explanation, I saw the video more than 10 times and that's is one of the best educational video I've ever seen.
Question please : How can we know the matrix B while Ynew is unknown ?
because B is a matrix of variogram : Gamma(Xnew,Xi) = 1/2(Ynew - Yi)² , and Ynew is unknown.
Echo
Goog job. I liked the video since i have been looking for videos in this topic for too long. I hope u can go ahead for the mathematical explanation. I would love it if you could help and make introduction about the Expected Improvements that is used along with kriging model to increase the fidelity of the model. Thanks alot
Did you ever go through the full mathematical model? would love to see that vid.
Thank you very much for your simple and comprehensive explanation. However, I have a question if you would be kind to help me. Can this theory be used for the points lets say to predict a point outside the boundary you have drawn?