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Multivariable spatial prediction
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Co-Kriging — New Developments
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Some Aspects of Multivariate Analysis
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Vector Conditional Simulation
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Cokriging model for estimation of water table elevation
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Best Linear Unbiased Prediction in the Generalized Linear Regression Model
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STATISTICS FOR SPATIAL DATA
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Spatial Dependence and Interpolation of Soil Properties in West Sumatra, Indonesia: II. Co‐regionalization and Co‐kriging
inferredcites →https://doi.org/10.2136/sssaj1987.03615995005100010005xopenalex-snapshot
Estimating Soil Water Content Using Cokriging
inferredcites →https://doi.org/10.2136/sssaj1988.03615995005200050040xopenalex-snapshot
Cokriging Point Data on Moisture Deficit
inferredcites →https://doi.org/10.2136/sssaj1988.03615995005200060005xopenalex-snapshot
Estimating Spatial Patterns in Water Content, Matric Suction, and Hydraulic Conductivity
inferredcites →https://doi.org/10.2307/1270024openalex-snapshot
Matrix Differential Calculus With Applications in Statistics and Econometrics
inferredcites →https://doi.org/10.2307/2531754openalex-snapshot
Matrix Differential Calculus with Applications in Statistics and Econometrics.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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MULTIVARIATE SPATIAL PREDICTION IN THE PRESENCE OF NON-LINEAR TREND AND COVARIANCE NON-STATIONARITY
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Statistical learning of temporally dependent high- & multi-dimensional data
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