This book describes statistical methods suitable for analyzing variation in soil and for relating soil to its environment. The authors stress sound sampling technique and show how to use the results for estimation, prediction, and efficient design. They show how classification can enhance the utility of survey data and lead to economies in sampling. Optimal methods for creating classification are described, and alternative multivariate methods are set forth for identifying relations such as principal component and co-ordinate analysis. The book expands and revises the author's Quantitative and Numerical Methods in Soil Classification and Survey. It includes information on regression, as used in both statistics and natural science. Three new chapters devoted to geostatistics introduce regionalized variable theory, and cover such applications as the variogram, its modelling, kriging, and isorithmic mapping. As with the first edition, the book stresses the full quantitative survey of land resources, measurement, and estimation. Many simple illustrations and tables are included to clarify the text.

Statistical Methods in Soil and Land Resource Survey (Spatial Information Systems)

Engineering & Transportation

Webster, R.

Oliver, M. A.

Engineering

Oxford University Press

This book describes suitable statistical methods for analyzing variation in soil and for relating the soil to its environment. Sound land planning increasingly needs such quantitative information and decisions have been made against a background of variation in soil and other land resources. The authors stress sound sampling technique and show how to use the results for estimation, prediction, and efficient design. They show how classification can enhance the utility of survey data and lead to economies in sampling. Optimal methods for creating classification are described as well as alternative multivariate methods for identifying relations such as principal component and principal co-ordinate analysis. This is essentially a second edition of Dr Webster's book "Quantitative and Numerical Methods in Soil Classification and Survey". In this edition the topic of regression is tackled from the viewpoints of both statistics and natural science. There are three new chapters devoted to geostatistics which introduce regional modelling, kriging, and isarithmic mapping. However, as in the first edition, the accent throughout is on fully quantitative survey of land resources, of measurement, and of estimation. The more advanced techniques are liberally illustrated with simple diagrams.

Science & Math

Agricultural Sciences

A collection of the poetry of five contemporary poets, namely Siôn Tomos Owen, M. A. Oliver, Anna Lewis, Alan Kellermann and Mab Jones, illustrating the diverse and innovative writing of the brightest young poets in Wales today.

10 of the Best (Bright Young Things)

Literature & Fiction

Lewis, Anna

Kellermann, Alan

Owen, Siôn Tomos

Jones, Mab

Poetry

Parthian Books

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Books by Oliver, M. A.