1:20 Spatial estimation 8:00 Weighting scheme 10:00 derivation of Simple Kriging 15:27 Kriging definition 16:00 Linear system for Simple Kriging 17:50 Properties of Simple Kriging 25:45 Excel Demo 31:35 Ordinary Kriging 32:45 Kriging: Summary
@joshmachine777
5 жыл бұрын
Sir I appreciate you posting such valuable lectures for public learning. Kudos to you.
@GeostatsGuyLectures
5 жыл бұрын
My pleasure! I love being a professor and getting to help so great many people on their scientific journey! Thank you, Michael
@mathiasberggren9970
3 жыл бұрын
The right amount of math to make it applicable, but not so much that it remove the focus on what is happening. Thanks a lot for putting this quality content up on youtube!
@GeostatsGuyLectures
3 жыл бұрын
Thank you Mathias for the feedback. I love math, but I love accessible education even more! I'm always trying to balance! I'm glad to hear that the content is useful!
@zane.walker
Жыл бұрын
Excellent lecture! I have used Kriging for more than a decade but did not have the insights that you presented in your 36 min lecture. Also, the excel spreadsheet very useful in getting an intuitive understanding of the Kriging method. Much appreciated!
@techguy6565
Жыл бұрын
Thank you for your spreadsheet demonstration, it is much easier to understand an equation or an algorithm by playing around with the variable.
@kalelalves
3 жыл бұрын
You are a life saver. I understood more from this video than all articles I read combined.
@GeostatsGuyLectures
3 жыл бұрын
Now that is accessible! I'm glad to hear that that content is helpful, Kalebe.
@carloscampoverde9461
2 жыл бұрын
Thanks professor I was lost until I saw your videos , greetings of a Ecuadorian from the Netherlands
@TonyTongWA
4 жыл бұрын
Thanks, this is an amazing explanation + lecture content!
@GeostatsGuyLectures
4 жыл бұрын
Thank you! I'm glad that you are finding it useful!
@renatojrfolledo5728
4 жыл бұрын
Thank you very much for making this public, now I fully understand what Kriging is
@GeostatsGuyLectures
4 жыл бұрын
That's what I'm talking about! I love to hear this. Isn't spatial data analytics awesome?
@renatojrfolledo5728
4 жыл бұрын
Yes it is awesome! I watched all your lecture series on Data Analytics and Geostatistics from 1a Data Analytics Reboot: Statistics Concepts to the last. As a graduate student in environmental science with biological sciences as undergrad who has limited statistics and mathematical background, your videos and teaching materials are very helpful as they are easier to understand than papers/books which are also difficult to obtain. Thank you very much for your generosity in sharing your expertise to wannabe geostatisticians: your lecture materials (PDF format), videos, program codes in R and Python. I'm experienced in R but not in Python, but your Python workflows motivated me and now I can program in Python as well!
@GeostatsGuyLectures
4 жыл бұрын
@@renatojrfolledo5728, thank you for sharing this. Now I'm totally stoked. This is why I do it! We are all one scientific community and more data analytics will improve science everywhere! Thank you, Michael
@khalidsalim1079
2 жыл бұрын
@@GeostatsGuyLectures Only when magicians like you Explain it... Thank you, Sir.
@user-ym1zr9qo1z
4 жыл бұрын
Thank you for your lecture! I think at 14:35 there should be a 2 in the second equation on the right side, hope I'm not mistaken.
@badwolf489
2 жыл бұрын
Best lecture! Thanks a lot
@tanveeralam3261
Жыл бұрын
thnk you sir for making such valuable contents available to us
@mojtabamaghazei9843
4 жыл бұрын
That' s gone be so viable.Thank a lot
@ZhaoweiWang
Жыл бұрын
Thanks a lot for the great lecture. Learning from this lecture that Kriging accounts for distance (i.e., in the lecture, increase/decrease weights if a sampling point is closer/further away from the unknown location) when assigning weights, would you still recommend to perform data declustering and calculate the weights for data? I just wonder if account for data closeness twice would be redundant? Thank you very much in advance!
@123pradipta
3 жыл бұрын
Thank you so much Geostatguy ..
@jorjasso
4 жыл бұрын
Great lecture!!!. (correct me if I am wrong) the main assumption here is to have a signal noise representation of the signal f=m+e, then for predicting a new signal f*=m*+e*, kriging assumes that e*=sum_i a_i e_i = sum_i a_i (f_i-m_i) which gives the equation f*=sum_i a_i f_i + m*- sum_i a_im_i. Then weights a_i are founded by minimizing the variance with constraint sum_i a_i=1. (1) All this start by modeling e*=sum_i a_i e_i right?, 2) If we assume that f's are realization of Gaussian process, then f* can be estimated using equation 2.19 or 2.25 from this book www.gaussianprocess.org/gpml/chapters/RW.pdf i.e., the approach you are using wil be equivalent (equal) than the showed in that book, right?). Thank for sharing this video
@abebayehutadesse7984
5 жыл бұрын
I found this lecture very interesting thank you for sharing.
@GeostatsGuyLectures
5 жыл бұрын
I try to keep it lively! The topic is fascinating. That's how I got pulled into it and never looked back. Thank you, Michael
@ahmedmohamedhelmiamer1204
Жыл бұрын
Thank you for the great lecture i have a question about the percentage of measurement error in ARC map while using any kriging technique it assumes that the measurement error equals to 100% of the error. this negatively ompact the generated geostatistical layer contour lines and the values at the easured rain gauges are significantly impacted. when i use a zero percent error the generated geostatistical layers for both t universal and ordinary kriging are identical
@getinettafesetucho7999
3 жыл бұрын
Thank you, indeed!
@zhenzhang3451
3 жыл бұрын
thank you sooooooo much professor!!!!!!!!!!!!!!!!!!!!!!thank you!!!!
@hung144
5 жыл бұрын
Very simple but very powerful demonstration. Excellent lecture. Could you please also discuss universal kriging?
@GeostatsGuyLectures
5 жыл бұрын
That is a great idea, Nazmul. I mentioned universal kriging in class for completeness to expand on the idea that common kriging variants are driven by various stationarity assumptions. I'll put together some content on this. Aside, given my geoscience-oriented engineering background I generally prefer mapped trend models. Thank you, Michael
@maxhofmann9851
5 жыл бұрын
Thanks a lot for this lecture! I think at 16:34, some of the indices in the third equation line should be u3 instead of u1
@GeostatsGuyLectures
5 жыл бұрын
Great eye! You are correct. I'll get that corrected. I appreciate the great help! Michael
@nazmnovruzov7578
4 жыл бұрын
hello SIR THANKS SO MUCH FOR THIS LECTURE CAN YOU EXPLAIN FACTORIAL KRIGING PLZ
@xdsf3702
5 жыл бұрын
Cool mic. Great sound quality.
@GeostatsGuyLectures
5 жыл бұрын
Thank you xdsf! I'm improving the quality over time. I'm thinking about getting a better camera.
@mosesadekoje3107
4 жыл бұрын
Great content sir, at 16:50 i noticed the third equation should be C(u3,u2) and C(u3,u3). I hope i'm not mistaken.
@katyhessni
Жыл бұрын
Thanks so much
@nio837
2 жыл бұрын
I was wondering if you have posted something related to kriging neighborhood analysis?
@seomemichaelswafo1265
11 ай бұрын
Hi Professor, I wanted to ask. Do you know any method I can use to run regression kriging on arcmap or which tool can I use?
@baibaswatabhaduri7563
4 жыл бұрын
awesome!
@GeostatsGuyLectures
4 жыл бұрын
Thank you. I hope the content is helpful!
@bokadhaba2624
3 жыл бұрын
wooow thank you for you share
@haroonkhanafridi127
4 жыл бұрын
How i interpret the kriging and kriging variance map?
@GeostatsGuyLectures
4 жыл бұрын
Good question! Dr. Journel told us not to put kriging estimates in maps! They are the best estimates at each location, but jointly they are incorrect, because they do not honor the histogram nor the variogram. The kriging variance is the missing variance in kriging and a measure of uncertainty in the estimate.
@tundeolokodana435
5 жыл бұрын
Thank you so much for this lecture sir. I have really learned a lot from it. Please which of your works on Kriging can I cite in my publication?
@GeostatsGuyLectures
4 жыл бұрын
Howdy Olatunde, you could cite the book, Pyrcz and Deutsch, 2014, Geostatistical Reservoir Modeling, 2nd edition. I'm glad the content is useful to you, Michael
@jumamagomba4907
4 жыл бұрын
thanks sir
@solimananwar9361
5 жыл бұрын
Many thanks but do you have excell sheet for establishing krigiing
@GeostatsGuyLectures
4 жыл бұрын
Howdy Solima, you're welcome and check out my ExcelNumericalDemos repository, I have simple kriging, indicator kriging and collocated cokriging by-hand. Hope this helps.
@solimananwar9361
4 жыл бұрын
@@GeostatsGuyLectures many thanks for your help could you pls send me your email for some quiz
@philippeflores5287
4 жыл бұрын
Great lecture !! I've noticed a small mistake at 14:17 : The indexes are C(u_i,u_j) instead of C(u_i,u_i) on the two equations ! Thanks again I hope I'm not wrong
@user-ym1zr9qo1z
4 жыл бұрын
I've noticed it too, I think you're right.
@yogenshres
2 жыл бұрын
Where can i get the spreadsheet sir??
@WGLTubaman
3 жыл бұрын
Thank you.
@GeostatsGuyLectures
3 жыл бұрын
You're welcome, William. I hope the content is useful!
@WGLTubaman
3 жыл бұрын
@@GeostatsGuyLectures it may actually end up in my dissertation.
@GeostatsGuyLectures
3 жыл бұрын
@@WGLTubaman, cool! Cite it and the channel will be famous! Glad to see more folks finding the content! Good luck on writing, Michael
@stellakountoupi5314
5 жыл бұрын
What is data redundancy?
@stellakountoupi5314
5 жыл бұрын
Never mind, it is data clustering. Thank you for your videos, they make geostatistics really enjoyable!
@AdrianZhang-ch4hw
Жыл бұрын
Hi Professor are you planning to introduce RBF in your class?
@CK-vy2qv
4 жыл бұрын
Anyone else noticed the ghost at 13:17? :)
@GeostatsGuyLectures
4 жыл бұрын
Howdy Chronis, great catch! I should get someone in to look at that!
@CK-vy2qv
4 жыл бұрын
@@GeostatsGuyLectures Haha - my best guess is that it was the dog :) BTW thanks for your videos, they are great!
@GeostatsGuyLectures
4 жыл бұрын
@@CK-vy2qv, you are correct. That is Darby, my rescue dog! She likes to join in my recorded lectures. I'm glad that you are finding the content useful!
@zahiralagheband3520
2 жыл бұрын
Hello sir. Thanks again for your great and straightforward content on geostatistics. I owe you a debt of gratitude. I had a question about ordinary kriging. In the 2nd half of this video on kriging theory by Luc Anselin, he said that in ordinary kriging the mean is constant and does not vary locally, there exists a stationary condition, and it is the case in a universal kriging model that the mean varies locally, while you said that in ordinary kriging we relax the stationarity condition: kzitem.info/news/bejne/oqV_u5d7aainpG0 Am I right or this is some kind of misunderstanding?
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