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Spatial structure analysis of regionalized compositions

https://doi.org/10.1007/bf00894233
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-94-009-4109-0openalex-snapshot
The Statistical Analysis of Compositional Data
inferredcites →https://doi.org/10.1007/978-94-015-6844-9_21openalex-snapshot
Vector Conditional Simulation
inferredcites →https://doi.org/10.1007/bf00894666openalex-snapshot
Cokriging of regionalized compositions
inferredcites →https://doi.org/10.1007/bf00897749openalex-snapshot
Uses and abuses of cross-validation in geostatistics
inferredcites →https://doi.org/10.1007/bf00898189openalex-snapshot
Production of conditional simulations via the LU triangular decomposition of the covariance matrix
inferredcites →https://doi.org/10.1007/bf01032887openalex-snapshot
Matrix formulation of co-kriging
inferredcites →https://doi.org/10.1007/bf01093416openalex-snapshot
Estimation of linear combinations and co-kriging
inferredcites →https://doi.org/10.1007/bf02291468openalex-snapshot
Testing Pattern Hypotheses for Covariance Matrices
inferredcites →https://doi.org/10.1080/00401706.1988.10488337openalex-snapshot
The Statistical Analysis of Compositional Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Compositional Data
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Compositional Data
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Predictive Geometallurgy: An Interdisciplinary Key Challenge for Mathematical Geosciences
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Geostatistical Models and Spatial Interpolation
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Geostatistical Models and Spatial Interpolation
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Geostatistical Models and Spatial Interpolation
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Geostatistical Modeling of Regionalized Grain-Size Distributions Using Min/Max Autocorrelation Factors
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Additive Logratio Estimation of Regionalized Compositional Data: An Application to Calculation of Oil Reserves
inferred← citeshttps://doi.org/10.1007/bf02083570openalex-snapshot
Estimation of regionalized compositions: A comparison of three methods
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Joint Consistent Mapping of High-Dimensional Geochemical Surveys
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Geostatistics for Compositional Data: An Overview
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Compositional Data in Geostatistics: A Log-Ratio Based Framework to Analyze Regionalized Compositions
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Co-simulated Size Number: An Elegant Novel Algorithm for Identification of Multivariate Geochemical Anomalies
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Assessing spatial uncertainty in mapping soil erodibility factor using geostatistical stochastic simulation
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Volumetric calculations in an oil field: The basis method
inferred← citeshttps://doi.org/10.1016/j.acags.2020.100044openalex-snapshot
Biplots for compositional data derived from generalized joint diagonalization methods
inferred← citeshttps://doi.org/10.1016/j.catena.2026.110650openalex-snapshot
Machine learning for modelling compositional soil properties in digital soil mapping
inferred← citeshttps://doi.org/10.1016/j.gexplo.2015.12.010openalex-snapshot
Spatial analysis of compositional data: A historical review
inferred← citeshttps://doi.org/10.1016/j.quascirev.2017.06.029openalex-snapshot
Dynamics and sources of last glacial aeolian deposition in southwest France derived from dune patterns, grain-size gradients and geochemistry, and reconstruction of efficient wind directions
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.03.048openalex-snapshot
Combining raw and compositional data to determine the spatial patterns of Potentially Toxic Elements in soils
inferred← citeshttps://doi.org/10.1016/j.spasta.2016.06.008openalex-snapshot
Likelihood analysis for a class of spatial geostatistical compositional models
inferred← citeshttps://doi.org/10.1023/a:1012250107121openalex-snapshot
Compositional Kriging: A Spatial Interpolation Method for Compositional Data
inferred← citeshttps://doi.org/10.1023/a:1012293922142openalex-snapshot
Criteria to Compare Estimation Methods of Regionalized Compositions
inferred← citeshttps://doi.org/10.1080/10798587.2013.861966openalex-snapshot
Spatial Prediction of Topsoil Texture in a Mountain-plain Transition Zone Using Unvariate and Multivariate Methods Based on Symmetry Logratio Transformation
inferred← citeshttps://doi.org/10.1080/13658816.2011.563743openalex-snapshot
Analysing the spatial scale of population concentrations by religion in Northern Ireland using global and local variograms
inferred← citeshttps://doi.org/10.1080/13658816.2015.1111377openalex-snapshot
Spatial scale and small area population statistics for England and Wales
inferred← citeshttps://doi.org/10.1080/17421772.2020.1828613openalex-snapshot
A simultaneous spatial autoregressive model for compositional data
inferred← citeshttps://doi.org/10.1111/pirs.12451openalex-snapshot
A distance correlation index of spatial dependence for compositional data
inferred← citeshttps://doi.org/10.1111/tran.12061openalex-snapshot
Assessing the spatial structure of population variables in England and Wales
inferred← citeshttps://doi.org/10.11606/t.11.2017.tde-17082017-155240openalex-snapshot
Abordagens para análise de dados composicionais
inferred← citeshttps://doi.org/10.1177/0308518x15621306openalex-snapshot
Are spatial inequalities growing? The scale of population concentrations in England and Wales
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Contribution of geostatistical velocity modelling to 3D pre stack depth migration in the Northern Pri-caspian Basin (Kazakhstan)
inferred← citeshttps://doi.org/10.1198/016214501753381850openalex-snapshot
Statistical Interpretation of Species Composition
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New formulation of the logistic-Gaussian process to analyze trajectory tracking data
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Three-Dimensional Modeling of Mineral/Elemental Compositions for Shale Reservoirs
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Contribution to the statistical analysis of compositional data with an application to political economy
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