Optimal sampling for spatial prediction of functional data

DOI10.1007/s10260-015-0340-9zbMath1416.62542OpenAlexW1856469852MaRDI QIDQ290346

Martha Bohorquez, Jorge Mateu, Ramón Giraldo Henao

Publication date: 1 June 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-015-0340-9

zbMATH Keywords

geostatisticsfunctional dataoptimal sampling

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12)

Related Items (7)

Functional regression concurrent model with spatially correlated errors: application to rainfall ground validation ⋮ Editorial: Advanced methods for space-time environmental data ⋮ Statistical modeling of spatial big data: an approach from a functional data analysis perspective ⋮ A joint design for functional data with application to scheduling ultrasound scans ⋮ Spatially Balanced Sampling: A Review and A Reappraisal ⋮ Multivariate spatial prediction based on Andrews curves and functional ⋮ On estimation and prediction in spatial functional linear regression model

Uses Software

• fda (R)
• EnviroStat

Cites Work

• Unnamed Item
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• Continuous time-varying Kriging for spatial prediction of functional data: an environmental application
• Functional data analysis.
• Statistical analysis of environmental space-time processes.
• Nonparametric functional data analysis. Theory and practice.
• Statistical Methods for Spatial Data Analysis
• Mean Squared Error of Estimation or Prediction Under a General Linear Model
• Collecting Spatial Data
• A study on sampling design for optimal prediction of space-time stochastic processes

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