Some methods to improve the utility of conditioned Latin hypercube sampling

The conditioned Latin hypercube sampling (cLHS) algorithm is popularly used for planning field sampling surveys in order to understand the spatial behavior of natural phenomena such as soils. This technical note collates, summarizes, and extends existing solutions to problems that field scientists f...

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Detalles Bibliográficos
Autores principales: Malone, Brendan P., Minansy, Budiman, Brungard, Colby
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Agricultural Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394343/
https://www.ncbi.nlm.nih.gov/pubmed/30828486
http://dx.doi.org/10.7717/peerj.6451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394343/
https://www.ncbi.nlm.nih.gov/pubmed/30828486
http://dx.doi.org/10.7717/peerj.6451

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