A Case Study Competition Among Methods for Analyzing Large Spatial Data

The Gaussian process is an indispensable tool for spatial data analysts. The onset of the “big data” era, however, has lead to the traditional Gaussian process being computationally infeasible for modern spatial data. As such, various alternatives to the full Gaussian process that are more amenable...

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Detalles Bibliográficos
Autores principales: Heaton, Matthew J., Datta, Abhirup, Finley, Andrew O., Furrer, Reinhard, Guinness, Joseph, Guhaniyogi, Rajarshi, Gerber, Florian, Gramacy, Robert B., Hammerling, Dorit, Katzfuss, Matthias, Lindgren, Finn, Nychka, Douglas W., Sun, Furong, Zammit-Mangion, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709111/
https://www.ncbi.nlm.nih.gov/pubmed/31496633
http://dx.doi.org/10.1007/s13253-018-00348-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709111/
https://www.ncbi.nlm.nih.gov/pubmed/31496633
http://dx.doi.org/10.1007/s13253-018-00348-w

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