Basic Steps in Geostatistics: The Variogram and Kriging
Nonfiction, Science & Nature, Science, Earth Sciences, Technology, Agriculture & Animal Husbandry
| Author: | Margaret A. Oliver, Richard Webster | ISBN: | 9783319158655 |
| Publisher: | Springer International Publishing | Publication: | March 30, 2015 |
| Imprint: | Springer | Language: | English |
| Author: | Margaret A. Oliver, Richard Webster |
| ISBN: | 9783319158655 |
| Publisher: | Springer International Publishing |
| Publication: | March 30, 2015 |
| Imprint: | Springer |
| Language: | English |
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.
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.
