Big data sampling and spatial analysis: ``which of the two ladles, of fig-wood or gold, is appropriate to the soup and the pot?

DOI10.1016/J.SPL.2018.02.012zbMath1489.62405OpenAlexW2790281579MaRDI QIDQ1642391

Konstantin Krivoruchko, Roger S. Bivand

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.2018.02.012

zbMATH Keywords

sampling designchange of supportdata transformationprediction standard error

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Sampling theory, sample surveys (62D05) Geostatistics (86A32) Statistical aspects of big data and data science (62R07)

Related Items (2)

The role of statistics in the era of big data ⋮ Statistical science in the world of big data

Uses Software

• FRK

Cites Work

• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• Hierarchical Poisson models for spatial count data
• Spatial statistics in the presence of location error with an application to remote sensing of the environment
• Analyzing spatial point patterns subject to measurement error
• Fixed Rank Kriging for Very Large Spatial Data Sets
• Gaussian Predictive Process Models for Large Spatial Data Sets
• Combining Incompatible Spatial Data

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