Using R for Digital Soil Mapping
Published on 28. June 2018
Book
Paperback/Softback
XVI, 262 pages
978-3-319-83040-7 (ISBN)
Description
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Primary & secondary/elementary & high school
Illustrations
17 s/w Abbildungen, 44 farbige Abbildungen
XVI, 262 p. 61 illus., 44 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 15 mm
Weight
480 gr
ISBN-13
978-3-319-83040-7 (9783319830407)
DOI
10.1007/978-3-319-44327-0
Schweitzer Classification
Other editions
Additional editions
Brendan P. Malone | Budiman Minasny | Alex B. McBratney
Using R for Digital Soil Mapping
Book
11/2016
Springer
€181.89
Shipment within 10-15 days
Content
Digital soil mapping.- R literacy for digital soil mapping.- Getting spatial in R-. Preparatory and exploratory data analysis for digital soil mapping.- Continuous soil attribute modeling and mapping.- Categorical soil attribute modeling and mapping.- Some methods for the quantification of prediction uncertainties for digital soil mapping.- Using digital soil mapping to update, harmonize and disaggregate legacy soil maps.- Combining continuous and categorical modeling: Digital soil mapping of soil horizons and their depths.- Digital soil assessment: A simple enterprise suitability example.