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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Hardcover. Condición: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Nº de ref. del artículo: 6545-9780198233176
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Hardcover. Condición: Very Good. Statistical Methods in Soil and Land Resource Survey (Spatial Information Systems) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Nº de ref. del artículo: 7719-9780198233176
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:0198233175. Nº de ref. del artículo: 9973779
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hardcover. Condición: Very Good. Very Good. book. Nº de ref. del artículo: ERICA82901982331753
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