Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Simple Kriging #152

Open
NikhilMunna opened this issue May 6, 2020 · 2 comments
Open

Simple Kriging #152

NikhilMunna opened this issue May 6, 2020 · 2 comments

Comments

@NikhilMunna
Copy link

NikhilMunna commented May 6, 2020

I am a newbie to geostatistics. How can we implement Simple Kriging using pykrige
I didn't find any example in documentation.

@MuellerSeb
Copy link
Member

@MuellerSeb MuellerSeb self-assigned this May 9, 2020
@MuellerSeb MuellerSeb added this to To do in PyKrige v2 via automation May 9, 2020
@MuellerSeb MuellerSeb moved this from To do to Selected in PyKrige v2 May 9, 2020
@MuellerSeb MuellerSeb added this to I14Y in GS-Framework v2 May 9, 2020
@MuellerSeb MuellerSeb added this to the v2.0 milestone May 9, 2020
@MuellerSeb MuellerSeb added the solved upstream Solved in GSTools label Mar 30, 2021
@MuellerSeb
Copy link
Member

Another problem with simple kriging and the current implementations in PyKrige is:

Simple kriging depends on the covariance function of a variogram model to build up the kriging system. Since PyKrige features unbounded models (that don't have a covariance, since there is no finite sill) and the kriging matrix is build up with variogram values, we would need to differentiate between bounded and unbounded models.

With the future use of GSTools, we are thinking about dividing these models into CovModel and UnboundedModel. See: GeoStat-Framework/GSTools#192

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
PyKrige v2
  
Selected
Development

No branches or pull requests

2 participants