Statistical modeling of spatial big data: an approach from a functional data analysis perspective

DOI10.1016/j.spl.2018.02.025zbMath1489.62413OpenAlexW2789922433MaRDI QIDQ1642410

Sergio Martínez, Sophie Dabo-Niang, Ramón Giraldo Henao

Publication date: 20 June 2018

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2018.02.025

zbMATH Keywords

functional datauniversal krigingspatial big data

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Functional data analysis (62R10) Statistical aspects of big data and data science (62R07)

Related Items (5)

The role of statistics in the era of big data ⋮ Statistical science in the world of big data ⋮ On estimation and prediction in spatial functional linear regression model ⋮ Recent developments in complex and spatially correlated functional data ⋮ Exploration of anisotropic design space by using unified Taylor-cokriging method

Uses Software

• fda (R)

Cites Work

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