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Digital Soil Mapping, Volume 31: An Introductory Perspective (Developments in Soil Science)
 
 
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Digital Soil Mapping, Volume 31: An Introductory Perspective (Developments in Soil Science) [Hardcover]

Philippe Lagacherie (Editor), Alex McBratney (Editor), Marc Voltz (Editor)

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Book Description

0444529586 978-0444529589 January 1, 2007 1
The book compiles the main ideas and methodologies that have been proposed and tested within these last fifteen years in the field of Digital Soil Mapping (DSM). Begining with current experiences of soil information system developments in various regions of the world, this volume presents states of the art of different topics covered by DSM: Conception and handling of soil databases, sampling methods, new soil spatial covariates, Quantitative spatial modelling, Quality assessment and representation of DSM outputs.
This book provides a solid support to students, researchers and engineers interested in modernising soil survey approaches with numerical techniques. It is also of great interest for potential soil data users.

* A new concept to meet the worldwide demand for spatial soil data
* The first compilation of ideas and methodologies of Digital Soil Mapping
* Offers a variety of specialities: soil surveying, geostatistics, data mining, fuzzy logic, remote sensing techniques, Geographical Information Science,...* Written by 82 researchers from 13 different countries

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Editorial Reviews

Review

"The editors have undoubtedly brought together a great deal of information...the editors and authors deserve our commendation."
- R. Webster in EUROPEAN JOURNAL OF SOIL SCIENCE

Book Description

The first book devoted to the understanding of Digital Soil Mapping

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
soil geographical database, maximum kriging variance, soil hydromorphy, fuzzy allocation scheme, soil inference system, albic features, application ontology classes, average kriging variance, pedological knowledge, existing soil maps, land unit mapping, soil properties using environmental correlation, digitised soil maps, soil property maps, universal kriging variance, mean slope gradient, conventional soil maps, soil profile classes, spatial coverage samples, regolith attributes, lithology classes, spatial simulated annealing, pedometric techniques, trend estimation error, predictor datasets
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Rio de Janeiro, Oxford University Press, Ustic Haplargids, European Communities, Powder River, Soil Res, European Soil Bureau, New South Wales, Remote Sens, Armorican Massif, Natural Resources Conservation Service, Tiwi Islands, Embrapa Solos, European Commission, John Wiley, Water Resour, Division of Soils, European Soil Database, United States Department of Agriculture, Brazilian Amazon, Czech Republic, Great Salt Lake, Mendonca Santos, Soil Survey Manual
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