1.

Record Nr.

UNINA9910768163003321

Autore

Oliver Margaret A

Titolo

Basic Steps in Geostatistics: The Variogram and Kriging / / by Margaret A. Oliver, Richard Webster

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-15865-1

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (106 p.)

Collana

SpringerBriefs in Agriculture, , 2211-808X

Disciplina

550.72

Soggetti

Agriculture

Geotechnical engineering

Geophysics

Ecology 

Statistics 

Geotechnical Engineering & Applied Earth Sciences

Geophysics/Geodesy

Ecology

Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.