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Basic steps in geostatistics: the variogram and kriging

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This brief will provide a bridge in succinct form between the geostatistics textbooks and the computer manuals for `push-button' practice. It is becoming increasingly important for practitioners, especially neophytes, to understand what underlies modern geostatistics and the currently available software so that they can choose sensibly and draw correct conclusions from their analysis and mapping. The brief will  Read more...

Abstract:
It will guide readers sequentially through the stages of properly designed sampling, exploratory data analysis, variography (computing the variogram and modelling it), followed by ordinary kriging  Read more...

Author(s): Oliver, Margaret A.; Webster, Richard
Series: SpringerBriefs in agriculture
Publisher: Springer
Year: 2015

Language: English
Pages: 100
Tags: Geology -- Statistical methods.

Content: 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.