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Table of Contents
1. Introduction
1.1. Background to Geostatistics
1.2. Applications of geostatistics
1.3. Sampling
1.4. The Essence of Geostatistics
2. Regionalized Variable Theory
2.1. Random Variables and Regionalized Variable Theory
3. The Variogram and Modelling
3.1. The Experimental Variogram
3.2. Factors Affecting the Reliability of Experimental Variograms
3.3. Modelling the Variogram
3.4. Factors Affecting the Reliability of Variogram Models
4. Geostatistical Prediction: Kriging
4.1. Introduction
4.2. Theory
4.3. Cross-validation
4.4. Summary
5. Sampling
5.1. Sampling for the Variogram
5.2. Sampling Plans for Mapping
5.3. Summary
6. Dealing with Trend
6.1. Trend
6.2. Example
6.3. Illustration from a Case Study
6.4. Summary.
1.1. Background to Geostatistics
1.2. Applications of geostatistics
1.3. Sampling
1.4. The Essence of Geostatistics
2. Regionalized Variable Theory
2.1. Random Variables and Regionalized Variable Theory
3. The Variogram and Modelling
3.1. The Experimental Variogram
3.2. Factors Affecting the Reliability of Experimental Variograms
3.3. Modelling the Variogram
3.4. Factors Affecting the Reliability of Variogram Models
4. Geostatistical Prediction: Kriging
4.1. Introduction
4.2. Theory
4.3. Cross-validation
4.4. Summary
5. Sampling
5.1. Sampling for the Variogram
5.2. Sampling Plans for Mapping
5.3. Summary
6. Dealing with Trend
6.1. Trend
6.2. Example
6.3. Illustration from a Case Study
6.4. Summary.