Basic Steps in Geostatistics: The Variogram and Kriging

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 contain some theory, but only that needed for practitioners to understand the essential steps in analyses. 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 and finally mapping kriged estimates and their errors. There will be short section on trend and universal kriging. Other types of kriging will be mentioned so that readers can delve further in the substantive literature to tackle more complex tasks.

Takes readers through the essential steps in computing and modelling the variogram, which is often done in a black-box environment that does not lead to an understanding of the spatial variation Short computer code to guide users in GenStat as a learning medium Unique and succinct information Includes supplementary material: sn.pub/extras

Autorentext
Richard Webster zählt weltweit zu den größten Experten, was das Thema Engel anbelangt.Er ist einer der erfolgreichsten amerikanischen Autoren und lebt mit seiner Familie in Neuseeland.

Inhalt

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.