Comments on: Semi-Variogram: Nugget, Range and Sill

By: Zeynep

Zeynep — Wed, 25 Oct 2023 14:53:23 +0000

Quoting Davi’s comment there, the R-squared value in the curve fitting task should seek maximization, not “lowering”.

By: Ambundo Jesse

Ambundo Jesse — Mon, 31 Jul 2023 19:15:34 +0000

Thanks for the explanation. It has given me great insight

By: Ibrahim Hegazi

Ibrahim Hegazi — Sun, 11 Jun 2023 19:04:15 +0000

Thanks for the information

By: Kiba Sama

Kiba Sama — Sun, 07 May 2023 20:14:56 +0000

I found it revigorating.

By: Angel Manuel Toledo

Angel Manuel Toledo — Fri, 11 Mar 2022 02:18:46 +0000

Thanks for the information. It really helps me understand geospatial analysis for my agriculture research

By: Mewa S. Dhanoa

Mewa S. Dhanoa — Fri, 28 Aug 2020 18:01:36 +0000

Good read however, when you have repeated samples (say) from the same field displaced in time or following (say) animal grazing we observe nugget variance spreading out. This is either due to changing local environment over time or animal treading effects .e.g. soil compaction. more details 0n this feature will help your Readers…

By: Farhad Malikzai

Farhad Malikzai — Mon, 02 Dec 2019 21:08:03 +0000

Thanks for the information it really helps me understand the concepts of sill, nugget and range.

By: Davi Jamelli

Davi Jamelli — Wed, 02 Oct 2019 12:25:21 +0000

Shouldn’t be trying to higher your R-squared values in “Ideally, you are trying to lower your R-squared value, as best fit as possible.”?

Thank you for this very didactic text.