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Geostatistics for Compositional Data with R

the framework and provides some background on compositional data analysis. Block two introduces compositional exploratory tools for both non;

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Handbook of Mathematical Geosciences

geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences.;

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Geostatistics with Data of Different Support Applied to Mining Engineering

that the data used for estimation/simulation should have the same size or support. However, Geostatistics provides the tools to integrate;

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Geostatistics with Data of Different Support Applied to Mining Engineering

that the data used for estimation/simulation should have the same size or support. However, Geostatistics provides the tools to integrate;

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Compositional Data Analysis

summary of three available software packages for compositional data analysis. * Supported by an accompanying website featuring R code. Applied;

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Compositional Data Analysis in Practice

introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour;

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Compositional Data Analysis in Practice

introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour;

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Multivariate Geostatistics: An Introduction with Applications

statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data;

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Applied Compositional Data Analysis

robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis;

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Applied Geostatistics

In Applied Geostatistics the authors demonstrate how simple statistical methods can be used to analyse earth science data. In clear;

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Spatial Statistics and Geostatistics

Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and;

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Spatial Statistics & Geostatistics

Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and;

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Geostatistics

over twenty years of experience in the field. It removes information and data that have lost relevance with time while maintaining timeless, core;

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Multivariate Geostatistics

variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. It presents;

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Introduction to Geostatistics

. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author's unique approach is a;

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Model-based Geostatistics for Global Public Health

. Describes exploratory methods for analysing geostatistical data, including: diagnostic checking of residuals standard linear and generalized linear;

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Model-based Geostatistics for Global Public Health

. Describes exploratory methods for analysing geostatistical data, including: diagnostic checking of residuals standard linear and generalized linear;

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Solved Problems in Geostatistics

problems that allow the reader to master the statistical techniques for modeling data in the geological sciences. The book's scope of coverage;

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Compositional Data Analysis

sample space of compositional data. The International Workshops on Compositional Data Analysis offer a vital discussion forum for researchers and;

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Geostatistical Primer, A

This book is an introductory text on geostatistics which treats spatially distributed random data and can be applied to areas like ore;

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Geostatistics For Environmental Scientists

suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when;

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Geostatistical Functional Data Analysis

Geostatistical Functional Data Analysis Explore the intersection between geostatistics and functional data analysis with this insightful;

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Geostatistical Methods for Reservoir Geophysics

This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers extensive geostatistical;

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Applied Geostatistics for Reservoir Characterization

This book is written to illustrate the importance of geostatistics in improving the reservoir ch;...

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Geostatistics for Estimating Fish Abundance

application to fisheries survey data. Comprehensive and practical advice is given on how this new method can be used to estimate the abundance (with;

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Groundwater Residue Sampling Design

residues in various enviromnental compartments. It also provides a basis for comparing programs and data in different geographic areas with;

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3D Modelling for Geotechnical Investigation

. In this research, geostatistics with R computing software was used in spatial interpolation of soil properties in un-sampled areas.;

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