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

Ramón Giraldo 1 Sophie Dabo-Niang 2, 3 Sergio Martinez 4
1 UNAL - Universidad Nacional de Colombia [Bogotà]
2 MODAL - MOdel for Data Analysis and Learning
LPP - Laboratoire Paul Painlevé - UMR 8524, Université de Lille, Sciences et Technologies, Inria Lille - Nord Europe, CERIM - Santé publique : épidémiologie et qualité des soins-EA 2694, Polytech Lille - École polytechnique universitaire de Lille
3 LEM - Lille économie management - LEM - UMR 9221
4 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
Abstract : A literature review on spatial big data analysis is given. We show an application of Universal Kriging to a massive spatial dataset. We also present some perspectives of future work in this field.
Keywords : Functional data Spatial big data Universal kriging
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Ramón Giraldo, Sophie Dabo-Niang, Sergio Martinez. Statistical modeling of spatial big data: An approach from a functional data analysis perspective. Statistics and Probability Letters, Elsevier, 2018, 136, pp.126-129. ⟨10.1016/j.spl.2018.02.025⟩. ⟨hal-01744181⟩

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