For everyone that was expecting to find more videos, you can check his book An Introduction to Applied Geostatistics (1989), easy and even more explained. Thank you Edward. (:
I never wrote a comment on youtube , but you Sir. deserve it. I just would like to thank so much for preparing this notes, it really helped to understand topics that were very difficult for me to understand. Please keep posting, and may GOD bless you.
Very well explained, direct to the point, and simple language that everybody can understand. It's sad to see professionals from various industries are using geostatistics softwares on daily basis without understating the concept of data stationarity. Again, I would like to thank you for taking the time to prepare the video. I can't wait to see your next video in regard to handling difficult datasets.
Wonderful illustration of non-stationary RV. It's really helpful to understand the basics of this concept. Very relevant to analyzing time series data as well. Look forward to your next video.
This video has the most intuitive, accurate and clear explanation! I have found a hidden gem!
For everyone that was expecting to find more videos, you can check his book An Introduction to Applied Geostatistics (1989), easy and even more explained. Thank you Edward. (:
I never wrote a comment on youtube , but you Sir. deserve it. I just would like to thank so much for preparing this notes, it really helped to understand topics that were very difficult for me to understand. Please keep posting, and may GOD bless you.
Superb! I'm teaching myself geostatistics as part of my PhD, your videos have been a fantastic help. Thank you!
Same here now
Very well explained, direct to the point, and simple language that everybody can understand. It's sad to see professionals from various industries are using geostatistics softwares on daily basis without understating the concept of data stationarity. Again, I would like to thank you for taking the time to prepare the video. I can't wait to see your next video in regard to handling difficult datasets.
Excellent video, you explained what has been perplexing me for years. I can't wait for your next video showing how to work with difficult data.
Thanks for this Edward - its most well prepared and most approachable.
Wonderful illustration of non-stationary RV. It's really helpful to understand the basics of this concept. Very relevant to analyzing time series data as well. Look forward to your next video.
Excellent explanations sir, thank you so much
Immensely appreciate your time in preparing the video! Looking forward to the next one.
So stationarity is the lack of any spatial autocorrelation, be it positive or negative! Thanks for this clear and well-structured explanation.
Such an explanatory video, thank you, sir!
Thanks Edward, easy to follow and understandable.
Fine piece of work. Thanks for your efforts.
I wish you were my professor, dear sir
cool !!
Thanks!