{
"item_title" : "Geostatistics for Compositional Data with R",
"item_author" : [" Raimon Tolosana-Delgado", "Ute Mueller "],
"item_description" : "1 Introduction.- 2 A review of compositional data analysis.- 3 Exploratory data analysis.- 4 Exploratory spatial analysis.- 5 Variogram Models.- 6 Geostatistical estimation.- 7 Cross-validation.- 8 Multivariate normal score transformation.- 9 Simulation.- 10 Compositional Direct Sampling Simulation.- 11 Evaluation and Postprocessing of Results.- A Matrix decompositions.- B Complete data analysis workflows.- Index.",
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Geostatistics for Compositional Data with R
Overview
1 Introduction.- 2 A review of compositional data analysis.- 3 Exploratory data analysis.- 4 Exploratory spatial analysis.- 5 Variogram Models.- 6 Geostatistical estimation.- 7 Cross-validation.- 8 Multivariate normal score transformation.- 9 Simulation.- 10 Compositional Direct Sampling Simulation.- 11 Evaluation and Postprocessing of Results.- A Matrix decompositions.- B Complete data analysis workflows.- Index.
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Details
- ISBN-13: 9783030825706
- ISBN-10: 3030825701
- Publisher: Springer
- Publish Date: November 2022
- Dimensions: 9.21 x 6.14 x 0.6 inches
- Shipping Weight: 0.9 pounds
- Page Count: 259
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