Digital Soil Mapping
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Using R for Digital Soil Mapping
| Author | : Brendan P. Malone |
| Publisher | : Springer |
| Total Pages | : 271 |
| Release | : 2016-11-17 |
| Genre | : Nature |
| ISBN | : 3319443275 |
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This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spatial data in R. The book also introduces the basic concepts and practices for building spatial soil prediction functions, and then ultimately producing digital soil maps.
Using R for Digital Soil Mapping Related Books
Language: en
Pages: 271
Pages: 271
Type: BOOK - Published: 2016-11-17 - Publisher: Springer
This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and
Language: en
Pages: 435
Pages: 435
Type: BOOK - Published: 2010-06-28 - Publisher: Springer Science & Business Media
Digital Soil Mapping is the creation and the population of a geographically referenced soil database. It is generated at a given resolution by using field and l
Language: en
Pages: 448
Pages: 448
Type: BOOK - Published: 2008-07-11 - Publisher: Springer Science & Business Media
Signi?cant technological advances have been few and far between in the past approximately one hundred years of soil survey activities. Perhaps one of the most i
Language: en
Pages: 659
Pages: 659
Type: BOOK - Published: 2006-12-18 - Publisher: Elsevier
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)
Language: en
Pages: 372
Pages: 372
Type: BOOK - Published: 2019-02-16 - Publisher: Lulu.com
Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spat
