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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 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.
1. Introduction
1.1. Background to Geostatistics
1.2. Applications of geostatistics
1.2.1. Mining and Engineering
1.2.2. Environmental Pollution
1.2.3. Precision Agriculture
1.2.4. Fisheries
1.3. Sampling
1.3.1. The Domain
1.3.2. The Variables
1.3.3. Units and Support
1.3.4. Practical Matters
1.4. The Essence of Geostatistics
2. Regionalized Variable Theory
2.1. Random Variables and Regionalized Variable Theory
2.1.1. Stationarity
3. The Variogram and Modelling
3.1. The Experimental Variogram
3.1.1. Computing the Variogram from Regular Sampling in One Dimension
3.1.2. Computing the Variogram from Sampling in Two Dimensions
3.2. Factors Affecting the Reliability of Experimental Variograms
3.2.1. Sample Size
3.2.2. Sampling Interval and Spatial Scale
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